Deep Learning Expert Job Description Template

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Deep Learning Expert Job Description Template

Deep learning experts are pivotal in leveraging advanced machine learning techniques to solve complex problems and unlock insights from large datasets. These professionals excel in creating and deploying neural networks, developing cutting-edge deep learning models, and optimizing performance to meet organizational goals. From healthcare innovations to automation in manufacturing, deep learning experts transform data into actionable insights.

This job description template is tailored to help companies seeking a deep learning expert attract top talent. Whether you're building AI solutions for computer vision, natural language processing, or predictive analytics, use this guide to craft a compelling job post and find skilled professionals on Upwork.

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Job Overview

A deep learning expert specializes in designing and deploying deep learning models that utilize algorithms and frameworks like TensorFlow, PyTorch, and Keras. They work with large datasets, leveraging convolutional neural networks (CNNs) and other architectures to address real-world challenges such as image recognition, natural language processing, and predictive analytics.

These experts collaborate with cross-functional teams, including data scientists, software engineers, and stakeholders, to ensure seamless integration of AI technologies into existing systems. A deep learning expert thrives on problem-solving, optimizing model performance, and staying updated on advancements in the field of artificial intelligence. Their ability to navigate complex problems with data analysis and preprocessing ensures impactful outcomes.

Key Responsibilities

Deep learning experts take on a variety of tasks to develop and implement advanced AI technologies. Core responsibilities include:

Developing deep learning models. Build and optimize neural networks for tasks such as image classification, object detection, and natural language processing.
Collaborating with cross-functional teams. Partner with data scientists, software engineers, and stakeholders to integrate AI solutions into pipelines.
Preprocessing and analyzing datasets. Prepare large datasets, ensuring they are clean, structured, and ready for training.
Training and deploying models. You can train machine learning models using TensorFlow, PyTorch, or Keras and deploy them into real-world applications.
Optimizing performance. Analyze and improve model performance for efficiency and accuracy in production environments.
Staying updated on advancements. Research emerging trends in deep learning algorithms, architectures, and AI solutions to maintain a competitive edge.
Visualizing data. Create detailed visualizations to present actionable insights from model outputs to stakeholders.
Ensuring scalability. Develop scalable AI pipelines that support large datasets and diverse machine-learning applications.

Qualifications and Skills

Deep learning experts possess a unique blend of technical and interpersonal skills. Ideal candidates will have:

Education. A bachelor’s degree in computer science, data science, or a related field. A master’s degree is often preferred.
Work experience. Years of experience in deep learning, data analysis, and deploying machine learning models.
Programming skills. Proficiency in Python, Java, and other programming languages for developing and deploying algorithms.
Technical skills. Expertise in frameworks such as TensorFlow, PyTorch, and Keras, along with tools like AWS or Azure.
Problem-solving. Strong analytical skills to address complex problems and optimize deep learning architectures.
Team collaboration. Experience working with cross-functional teams to align AI initiatives with organizational goals.
AI technologies. In-depth knowledge of convolutional neural networks (CNNs), natural language processing, and big data.
Communication skills. The ability to explain technical concepts to stakeholders and present findings clearly.

About Our Company

[Company name] is a leader in harnessing the power of artificial intelligence and machine learning to create transformative solutions. Our team thrives on innovation, working across industries to deploy cutting-edge technologies. Join us to collaborate on exciting deep learning projects that make a difference in the real world.

What does a deep learning expert do?

A deep learning expert develops, trains, and deploys neural networks and machine learning models to solve complex problems. They specialize in frameworks like TensorFlow and PyTorch to create deep learning architectures for applications such as computer vision, natural language processing, and predictive analytics.

Designs and optimizes neural network architectures. Build convolutional neural networks (CNNs) and other models to address tasks such as segmentation and image classification.
Works with data structures and large datasets. Preprocess and organize data to ensure it is optimized for training deep learning models.
Implements advanced algorithms. Use tools and programming languages like Python and Java to deploy machine learning techniques.
Collaborates with cross-functional teams. Partner with data scientists, software engineers, and stakeholders to align deep learning initiatives with business objectives.
Focuses on model performance. Continuously improve accuracy and efficiency through iterative optimization and regular testing.
Applies frameworks for innovation. Leverage tools like Keras and PyTorch to streamline the development and deployment of AI applications.

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FAQs about deep learning experts

What is the typical salary for a deep learning expert?

Deep learning experts earn an average salary of $85 to $131,000 annually, depending on experience and location. On Upwork, professionals typically charge $30 to $100 per hour, making it easy to find talent within your budget.

What skills do deep learning experts need?

Deep learning experts require a strong foundation in programming languages like Python and Java and expertise in frameworks such as TensorFlow, PyTorch, and Keras. They must have a deep understanding of neural networks, machine learning algorithms, and large datasets. Proficiency in data analysis, preprocessing, and optimization is essential to develop high-performing models. Additionally, strong problem-solving and communication skills are vital for working with cross-functional teams and presenting findings to stakeholders. Familiarity with cloud platforms like AWS and Azure, along with knowledge of advanced architectures such as convolutional neural networks (CNNs), further enhances their ability to deliver impactful results.

What industries hire deep learning experts?

Deep learning experts are highly sought after in industries like healthcare, where they contribute to innovations in medical imaging and diagnostics. In finance, they develop predictive analytics for risk assessment and fraud detection. In e-commerce and retail, they enable personalized recommendations and customer behavior analysis. Robotics and autonomous vehicle sectors rely on their expertise for real-time decision-making and navigation. Additionally, deep learning experts are integral to advancements in entertainment, manufacturing, and natural language processing (NLP), showcasing their versatility across various domains.

How do deep learning experts contribute to business success?

Deep learning experts drive business success by developing advanced models that transform data into actionable insights. By optimizing processes, improving product quality, and enabling automation, they help organizations reduce costs and enhance efficiency. These professionals also improve customer experiences through applications like personalized recommendations and real-time problem-solving. Their ability to address complex problems and stay ahead of technological advancements ensures businesses remain competitive in rapidly evolving markets. Ultimately, deep learning experts enable organizations to unlock the full potential of their data and foster innovation.

What is the difference between a deep learning expert and a machine learning engineer?

While both roles involve applying artificial intelligence and machine learning, their focus areas differ. Deep learning experts specialize in neural networks, creating and training advanced architectures such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). They focus on developing solutions for complex, high-dimensional data, such as image processing, speech recognition, and natural language understanding. Machine learning engineers, on the other hand, work broadly across machine learning algorithms, often integrating models into production systems and optimizing their performance within larger applications. Both roles are critical, but deep learning experts bring niche expertise for tackling highly specific, complex tasks.

Hire deep learning experts on Upwork

Hiring a deep learning expert can transform your business by bringing cutting-edge AI solutions to life. Whether you need to develop advanced models, optimize processes, or unlock insights from large datasets, these professionals are equipped to deliver impactful results. By leveraging their expertise, you can gain a competitive edge, enhance efficiency, and drive innovation in your industry.

On Upwork, you have access to a global pool of skilled deep learning experts. Whether you're looking for short-term project assistance or long-term collaboration, Upwork offers the flexibility to find the right professional to meet your needs.

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Hire Deep Learning Experts

Deep Learning Experts you can meet on Upwork

$55 hourly
Anna B.
- 4.7
- (5 jobs)
Tbilisi, TB
Deep Learning
FastAPI
Machine Learning
OpenCV
Image Segmentation
Image Processing
Computer Vision
Python
PyTorch
Named-Entity Recognition
Transformer Model
Hugging Face
Model Tuning
Natural Language Processing
Vector Database
GPT-4
OpenAI API
LLM Prompt Engineering
Large Language Model
Retrieval Augmented Generation

Senior ML/AI Engineer with 6+ years of experience. I'm comfortable taking projects from scratch to production on my own - RAG, NLP, or CV. What I specialize in: - RAG & LLM systems: retrieval pipelines, vector search, cross-encoder rerankers, GPT-4 and self-hosted LLMs - NLP: transformer fine-tuning (BERT), NER, spans extraction, sentiment analysis, Graph Neural Networks - Computer Vision: detection, segmentation, fine-tuning, C++ inference - Production ML: FastAPI, Docker, MongoDB, SQL, end-to-end pipelines from research to API Selected projects: - Product matching for e-commerce (sole engineer) - designed and built a universal matching system for catalogs with different schemas. Built a hybrid approach with priority logic, two-stage retrieval (FAISS + cross-encoder reranker), and on-the-fly attribute alignment. Tested embedding models for Russian, since most pretrained ones are focused on English. Matched ~60,000 client products with 96% accuracy. - News Q&A with RAG (sole engineer) - owned the full pipeline for a financial client: NER, sentiment, summarization at ingestion, query parsing, retrieval, grounded generation. Ran a cost analysis of the self-hosted LLM setup and suggested moving summarization to API - the change made the system cheaper without losing quality. - KYC entity risk system - fine-tuned transformers for NER and spans extraction on compliance data; built a Graph NN for risk scoring across entity relationships. Set up experiment tracking and result visualization end-to-end. - Product image recoloring for an e-commerce merch store (sole engineer) - needed to recolor thousands of product images at scale. Chose a classical CV approach over neural networks and OpenAI to keep processing affordable at scale. Delivered as an API service and generated ~5,000 new bag images in different colors. Tech stack: Python, C++, PyTorch, HuggingFace Transformers, FAISS, OpenAI API, FastAPI, Docker, MongoDB, SQL. Currently available for new projects. Open to RAG/LLM work, NLP, CV, and broader ML engineering - both short-term and long-term. Feel free to reach out with your project details.
$20 hourly
Salman M.
- 4.9
- (7 jobs)
Lahore, PB
Deep Learning
API Development
OCR Software
Chatbot Development
Object Detection
PyTorch
AI Agent Development
AI Model Integration
Natural Language Processing
AI Chatbot
Generative AI Software
Machine Learning
Generative AI
Artificial Intelligence
Image Processing
Python
Data Science
OpenCV
TensorFlow
Computer Vision

I build production-ready Computer Vision, Generative AI, and Data Science systems that solve real business problems, from object detection pipelines and LLM-powered RAG applications to intelligent AI agents that automate complex workflows. Top Rated AI/ML Engineer with 5+ years delivering end-to-end solutions using PyTorch, YOLO, LangChain, OpenAI API, and Anthropic API. I've shipped defect detection models for manufacturing floors, built RAG chatbots that sit on top of company knowledge bases, designed fraud detection pipelines for fintech clients, and deployed AI agents that replaced hours of manual work. Every project I take on goes from problem to working, deployed system, not just a Jupyter notebook. I communicate clearly, deliver on time, and care about your outcome as much as the tech behind it. 👁️ Computer Vision: • Object Detection & Tracking (YOLOv8, YOLOv9, YOLOv11, SSD, Faster R-CNN, DETR) • Image Segmentation (Semantic, Instance, Panoptic, SAM, SAM 2) • OCR & Intelligent Document Processing (TesseractOCR, EasyOCR, PaddleOCR, DocTR) • Face Recognition, Facial Attribute Analysis & Emotion Detection • Vision Language Models (CLIP, BLIP, Florence, GPT-4V, Gemini Vision) • Image Enhancement, Super-Resolution & Visual Search • Video Analysis & Real-time Object Tracking (DeepSORT, ByteTrack, BoT-SORT) • AI Image Generation & Editing (Stable Diffusion, ControlNet, Inpainting) • CNNs, Vision Transformers (ViT), EfficientNet & Transfer Learning • Visual Inspection & Defect Detection for Manufacturing & Quality Control • Medical Image Analysis & Document Parsing • Multimodal AI Systems (combining vision, text & audio) 🤖 Generative AI & LLMs: • RAG (Retrieval Augmented Generation) Pipelines & Knowledge Bases • LLM Fine-tuning (LoRA, QLoRA, PEFT, RLHF, DPO) • Prompt Engineering & Optimization • OpenAI API (GPT-4, GPT-4o, GPT-5), Anthropic API (Claude), Google Gemini • Open-source LLMs (Llama 3, Mistral, Qwen, Phi, DeepSeek, Gemma) via Hugging Face Transformers • Custom AI Chatbot Development & Virtual Assistants • LangChain, LlamaIndex, Haystack • AI Integration into Existing Systems & Workflows • Speech-to-Text (OpenAI Whisper) & Text-to-Speech (TTS, ElevenLabs) • Embedding Models & Vector Search • Document AI: Extraction, Parsing & Intelligent Processing 📊 Data Science & Machine Learning: • Exploratory Data Analysis (EDA) & Feature Engineering • Predictive Modeling, Forecasting & Predictive Analytics • Classical ML (XGBoost, LightGBM, CatBoost, Random Forest, SVM, KNN) • Time Series Analysis, Forecasting & Anomaly Detection • Classification, Regression & Clustering • Model Evaluation, Selection & Hyperparameter Tuning • Data Preprocessing, Cleaning & Wrangling • Data Visualization & Dashboards (Matplotlib, Seaborn, Plotly) • Fraud Detection & Risk Analysis • Recommendation Systems 🔄 AI Agents & Automation: • Agentic AI Workflows (LangGraph, CrewAI, AutoGen, Agno) • Multi-Agent Systems & Tool-Use Agents • Model Context Protocol (MCP) Integrations • AI-powered Workflow Automation (n8n, Make, Zapier) • End-to-end Pipeline Orchestration & AI Integration • Autonomous Task Execution & Decision-Making Systems • Voice AI Agents (VAPI, Bland AI) ✅ Tech Stack: ➼ Languages: Python ➼ ML/DL Frameworks: PyTorch, TensorFlow, Keras, Scikit-Learn, Hugging Face Transformers ➼ Computer Vision: OpenCV, Ultralytics (YOLO), PIL, TesseractOCR, EasyOCR, PaddleOCR, Roboflow ➼ GenAI / LLM: LangChain, LlamaIndex, LangGraph, OpenAI API, Anthropic API, Hugging Face ➼ Data & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scipy ➼ API & Deployment: Flask, FastAPI, Docker, Streamlit, Gradio ➼ Cloud: AWS (SageMaker, EC2, S3, Lambda), Azure, GCP ➼ Databases: Pinecone, ChromaDB, Faiss, Weaviate, PostgreSQL, MongoDB ➼ MLOps: MLflow, Weights & Biases, Model Versioning & Monitoring ➼ IDE: VS Code, PyCharm, Jupyter Notebook, Google Colab 🚀 Why work with me: Production-Focused: I don't just prototype, I ship deployed, working systems that integrate with your workflow and deliver measurable value. Results-Driven: Every project starts with your business goal. Whether it's automating visual inspection, building a smart chatbot, detecting fraud, or extracting insights from documents, the model is a means to your outcome. Modern & Current: The AI field moves fast and so do I. I stay on top of what actually works, LLMs, RAG, AI agents, vision-language models, multimodal AI, so your solution uses cutting-edge approaches, not outdated ones. Clear Communication: Top Rated with a strong Job Success track record. I communicate clearly, meet deadlines, and treat every project as a real partnership. 🤝 Let's work together to push the boundaries of what's possible!
$95 hourly
Vano E.
- 5.0
- (9 jobs)
Vanadzor, LORI
Deep Learning
C++
Node.js
JavaScript
Laravel
PHP
TypeScript
GraphQL
SQL
Java
IT Consultation
Machine Learning
Linux System Administration
Deep Neural Network
Python

⭐⭐⭐⭐⭐ I’m an AI & Automation Systems Architect with a strong background in full-stack engineering, Python development, machine learning, and DevOps. I focus on building intelligent systems that optimize how businesses operate by connecting tools, data, and workflows through automation and AI. I don’t just build applications. I design and implement systems where processes are automated, information is structured, and AI supports real operational decisions. What I Do ✔️ Analyze and optimize business workflows and information flow ✔️ Design AI-driven automation systems for operations ✔️ Build end-to-end automations using APIs, webhooks, and automation platforms ✔️ Integrate LLMs and machine learning models into real business workflows ✔️ Architect scalable backends, APIs, and data pipelines ✔️ Connect databases, CRMs, and tools into unified intelligent systems ✔️ Set up DevOps, CI/CD, containerization, and cloud infrastructure ✔️ Maintain, optimize, and scale existing systems Technical Expertise ✔️ Python, JavaScript, SQL ✔️ Django, Flask, React, Node.js ✔️ Machine Learning, LLM integration, embeddings, RAG architectures ✔️ PostgreSQL, MySQL, MongoDB, Redis ✔️ Automation platforms, API orchestration, webhooks ✔️ Docker, Kubernetes, CI/CD, AWS, GCP, Azure Approach I start by understanding how your current processes work. Then I design the system architecture. Then I implement automation and AI at the points where it creates measurable impact. The result is a reliable, AI-assisted operational system that improves efficiency and reduces manual work. Want to work together? I’d love to hear from you!

$55 hourly
Anna B.
- 4.7
- (5 jobs)
Tbilisi, TB
Deep Learning
FastAPI
Machine Learning
OpenCV
Image Segmentation
Image Processing
Computer Vision
Python
PyTorch
Named-Entity Recognition
Transformer Model
Hugging Face
Model Tuning
Natural Language Processing
Vector Database
GPT-4
OpenAI API
LLM Prompt Engineering
Large Language Model
Retrieval Augmented Generation

Senior ML/AI Engineer with 6+ years of experience. I'm comfortable taking projects from scratch to production on my own - RAG, NLP, or CV. What I specialize in: - RAG & LLM systems: retrieval pipelines, vector search, cross-encoder rerankers, GPT-4 and self-hosted LLMs - NLP: transformer fine-tuning (BERT), NER, spans extraction, sentiment analysis, Graph Neural Networks - Computer Vision: detection, segmentation, fine-tuning, C++ inference - Production ML: FastAPI, Docker, MongoDB, SQL, end-to-end pipelines from research to API Selected projects: - Product matching for e-commerce (sole engineer) - designed and built a universal matching system for catalogs with different schemas. Built a hybrid approach with priority logic, two-stage retrieval (FAISS + cross-encoder reranker), and on-the-fly attribute alignment. Tested embedding models for Russian, since most pretrained ones are focused on English. Matched ~60,000 client products with 96% accuracy. - News Q&A with RAG (sole engineer) - owned the full pipeline for a financial client: NER, sentiment, summarization at ingestion, query parsing, retrieval, grounded generation. Ran a cost analysis of the self-hosted LLM setup and suggested moving summarization to API - the change made the system cheaper without losing quality. - KYC entity risk system - fine-tuned transformers for NER and spans extraction on compliance data; built a Graph NN for risk scoring across entity relationships. Set up experiment tracking and result visualization end-to-end. - Product image recoloring for an e-commerce merch store (sole engineer) - needed to recolor thousands of product images at scale. Chose a classical CV approach over neural networks and OpenAI to keep processing affordable at scale. Delivered as an API service and generated ~5,000 new bag images in different colors. Tech stack: Python, C++, PyTorch, HuggingFace Transformers, FAISS, OpenAI API, FastAPI, Docker, MongoDB, SQL. Currently available for new projects. Open to RAG/LLM work, NLP, CV, and broader ML engineering - both short-term and long-term. Feel free to reach out with your project details.
$20 hourly
Salman M.
- 4.9
- (7 jobs)
Lahore, PB
Deep Learning
API Development
OCR Software
Chatbot Development
Object Detection
PyTorch
AI Agent Development
AI Model Integration
Natural Language Processing
AI Chatbot
Generative AI Software
Machine Learning
Generative AI
Artificial Intelligence
Image Processing
Python
Data Science
OpenCV
TensorFlow
Computer Vision

I build production-ready Computer Vision, Generative AI, and Data Science systems that solve real business problems, from object detection pipelines and LLM-powered RAG applications to intelligent AI agents that automate complex workflows. Top Rated AI/ML Engineer with 5+ years delivering end-to-end solutions using PyTorch, YOLO, LangChain, OpenAI API, and Anthropic API. I've shipped defect detection models for manufacturing floors, built RAG chatbots that sit on top of company knowledge bases, designed fraud detection pipelines for fintech clients, and deployed AI agents that replaced hours of manual work. Every project I take on goes from problem to working, deployed system, not just a Jupyter notebook. I communicate clearly, deliver on time, and care about your outcome as much as the tech behind it. 👁️ Computer Vision: • Object Detection & Tracking (YOLOv8, YOLOv9, YOLOv11, SSD, Faster R-CNN, DETR) • Image Segmentation (Semantic, Instance, Panoptic, SAM, SAM 2) • OCR & Intelligent Document Processing (TesseractOCR, EasyOCR, PaddleOCR, DocTR) • Face Recognition, Facial Attribute Analysis & Emotion Detection • Vision Language Models (CLIP, BLIP, Florence, GPT-4V, Gemini Vision) • Image Enhancement, Super-Resolution & Visual Search • Video Analysis & Real-time Object Tracking (DeepSORT, ByteTrack, BoT-SORT) • AI Image Generation & Editing (Stable Diffusion, ControlNet, Inpainting) • CNNs, Vision Transformers (ViT), EfficientNet & Transfer Learning • Visual Inspection & Defect Detection for Manufacturing & Quality Control • Medical Image Analysis & Document Parsing • Multimodal AI Systems (combining vision, text & audio) 🤖 Generative AI & LLMs: • RAG (Retrieval Augmented Generation) Pipelines & Knowledge Bases • LLM Fine-tuning (LoRA, QLoRA, PEFT, RLHF, DPO) • Prompt Engineering & Optimization • OpenAI API (GPT-4, GPT-4o, GPT-5), Anthropic API (Claude), Google Gemini • Open-source LLMs (Llama 3, Mistral, Qwen, Phi, DeepSeek, Gemma) via Hugging Face Transformers • Custom AI Chatbot Development & Virtual Assistants • LangChain, LlamaIndex, Haystack • AI Integration into Existing Systems & Workflows • Speech-to-Text (OpenAI Whisper) & Text-to-Speech (TTS, ElevenLabs) • Embedding Models & Vector Search • Document AI: Extraction, Parsing & Intelligent Processing 📊 Data Science & Machine Learning: • Exploratory Data Analysis (EDA) & Feature Engineering • Predictive Modeling, Forecasting & Predictive Analytics • Classical ML (XGBoost, LightGBM, CatBoost, Random Forest, SVM, KNN) • Time Series Analysis, Forecasting & Anomaly Detection • Classification, Regression & Clustering • Model Evaluation, Selection & Hyperparameter Tuning • Data Preprocessing, Cleaning & Wrangling • Data Visualization & Dashboards (Matplotlib, Seaborn, Plotly) • Fraud Detection & Risk Analysis • Recommendation Systems 🔄 AI Agents & Automation: • Agentic AI Workflows (LangGraph, CrewAI, AutoGen, Agno) • Multi-Agent Systems & Tool-Use Agents • Model Context Protocol (MCP) Integrations • AI-powered Workflow Automation (n8n, Make, Zapier) • End-to-end Pipeline Orchestration & AI Integration • Autonomous Task Execution & Decision-Making Systems • Voice AI Agents (VAPI, Bland AI) ✅ Tech Stack: ➼ Languages: Python ➼ ML/DL Frameworks: PyTorch, TensorFlow, Keras, Scikit-Learn, Hugging Face Transformers ➼ Computer Vision: OpenCV, Ultralytics (YOLO), PIL, TesseractOCR, EasyOCR, PaddleOCR, Roboflow ➼ GenAI / LLM: LangChain, LlamaIndex, LangGraph, OpenAI API, Anthropic API, Hugging Face ➼ Data & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scipy ➼ API & Deployment: Flask, FastAPI, Docker, Streamlit, Gradio ➼ Cloud: AWS (SageMaker, EC2, S3, Lambda), Azure, GCP ➼ Databases: Pinecone, ChromaDB, Faiss, Weaviate, PostgreSQL, MongoDB ➼ MLOps: MLflow, Weights & Biases, Model Versioning & Monitoring ➼ IDE: VS Code, PyCharm, Jupyter Notebook, Google Colab 🚀 Why work with me: Production-Focused: I don't just prototype, I ship deployed, working systems that integrate with your workflow and deliver measurable value. Results-Driven: Every project starts with your business goal. Whether it's automating visual inspection, building a smart chatbot, detecting fraud, or extracting insights from documents, the model is a means to your outcome. Modern & Current: The AI field moves fast and so do I. I stay on top of what actually works, LLMs, RAG, AI agents, vision-language models, multimodal AI, so your solution uses cutting-edge approaches, not outdated ones. Clear Communication: Top Rated with a strong Job Success track record. I communicate clearly, meet deadlines, and treat every project as a real partnership. 🤝 Let's work together to push the boundaries of what's possible!
$95 hourly
Vano E.
- 5.0
- (9 jobs)
Vanadzor, LORI
Deep Learning
C++
Node.js
JavaScript
Laravel
PHP
TypeScript
GraphQL
SQL
Java
IT Consultation
Machine Learning
Linux System Administration
Deep Neural Network
Python

⭐⭐⭐⭐⭐ I’m an AI & Automation Systems Architect with a strong background in full-stack engineering, Python development, machine learning, and DevOps. I focus on building intelligent systems that optimize how businesses operate by connecting tools, data, and workflows through automation and AI. I don’t just build applications. I design and implement systems where processes are automated, information is structured, and AI supports real operational decisions. What I Do ✔️ Analyze and optimize business workflows and information flow ✔️ Design AI-driven automation systems for operations ✔️ Build end-to-end automations using APIs, webhooks, and automation platforms ✔️ Integrate LLMs and machine learning models into real business workflows ✔️ Architect scalable backends, APIs, and data pipelines ✔️ Connect databases, CRMs, and tools into unified intelligent systems ✔️ Set up DevOps, CI/CD, containerization, and cloud infrastructure ✔️ Maintain, optimize, and scale existing systems Technical Expertise ✔️ Python, JavaScript, SQL ✔️ Django, Flask, React, Node.js ✔️ Machine Learning, LLM integration, embeddings, RAG architectures ✔️ PostgreSQL, MySQL, MongoDB, Redis ✔️ Automation platforms, API orchestration, webhooks ✔️ Docker, Kubernetes, CI/CD, AWS, GCP, Azure Approach I start by understanding how your current processes work. Then I design the system architecture. Then I implement automation and AI at the points where it creates measurable impact. The result is a reliable, AI-assisted operational system that improves efficiency and reduces manual work. Want to work together? I’d love to hear from you!
$100 hourly
Meesam N.
- 5.0
- (17 jobs)
Dera Ghazi Khan, PB
Deep Learning
FReD
Deep Neural Network
Machine Learning
Data Mining
Data Scraping
TensorFlow
Python
R
MATLAB
C++

Data Scientist & Machine Learning Engineer with 7+ years of experience in AI, Machine Learning, Deep Learning, Computer Vision, Speech Recognition, Signal Processing, Data Mining, and Web Scraping. I specialize in building intelligent, scalable solutions using supervised and unsupervised learning techniques, neural networks, and advanced data analytics. Whether you need predictive models, image processing systems, speech-based applications, or data extraction pipelines, I can deliver reliable and high-quality results tailored to your business needs. My focus is on client satisfaction, transparent communication, and delivering solutions that create real value. I take ownership of every project and provide dedicated support throughout the engagement. Let's work together to turn your data into actionable insights and impactful solutions.
$70 hourly
Achraf S.
- 5.0
- (24 jobs)
Zuerich, ZH
Deep Learning
Artificial Intelligence
Object-Oriented Programming
Object-Oriented Design
Data Science
Game Development
Agile Software Development
Unreal Engine
Python
Action
Online Multiplayer
C#
C++

👋 Hi there! Software Engineer with over 6+ years of experience in the IT field, specializing in Game Development, Web Development and AI solutions. It's important to me to build long term relationships with clients, however, I'm both looking for long and short term projects. I'm flexible with my working hours and I am more than happy to work closely with any existing talents you work with. I look forward to hearing from you!
$125 hourly
Muhammad Jarir K.
- 5.0
- (25 jobs)
Karachi, SD
Deep Learning
dbt
AI Chatbot
Data Integration
Data Management
Data Visualization
Data Engineering
Artificial Intelligence
AI Model Development
R
Python
Data Science
Natural Language Processing
Machine Learning

I help companies increase revenue and automate processes with the power of data science and AI. I'm a full-stack data scientist with a wealth of expertise in machine learning, NLP, Generative AI (ChatGPT, LLMs), data engineering, and analytics engineering. I can also help drive strategy and manage your data team. My previous experiences include creating and managing end-to-end data pipelines powering AI & ML products at the WHO and venture-backed startups. I can help you: 💡 Ideate on how to integrate the latest AI & ML techniques (e.g., ChatGPT) into your products and services 🤖 Build ML and NLP models on your custom data 🔧 Set up robust data and analytics pipelines using modern tooling (dbt, Fivetran, Dagster) and software engineering best practices 🏷️ Build in-house data annotation and labeling pipelines to power your custom AI models ☁️ Deploy AI models and manage related cloud infrastructure in a cost-effective manner 🎓 Mentor your existing teams on how to use MLOps and DataOps tooling to supercharge productivity I have a bachelor's in physics and a master's in data science and analytics from Georgia Tech. ________________________________________________________________________________ My toolkit includes: 🧠 Generative AI — LLMs, OpenAI ChatGPT, Gemini, Anthropic Claude, Chatbots, Retrieval Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, PyTorch, TensorFlow, Hugging Face, LangChain, LLaMA, Gemma ⚙️ Data Engineering — dbt, Dagster, Airflow, Prefect, API Integration, ETL/ELT Pipelines, Fivetran, Airbyte, Meltano, dlt, BigQuery, Redshift, Snowflake, DuckDB, Postgres, MySQL, Cube, dbt Semantic Layer 🔬 Data Science & Machine Learning — Natural Language Processing, Classification, Clustering, Regression, Unsupervised Learning, Topic Modeling, Churn Prediction, Jupyter Notebooks, Prodigy, Spacy, Mephisto, Dataset Creation, Scikit-Learn (sklearn), NumPy, SciPy, Polars, Pandas, CuPy 📊 Data Visualization — Tableau, Looker, Omni, Lightdash, QuickSight, Hex, Deepnote, Plotly, Dash, Seaborn, Matplotlib, ggplot, Hvplot, Altair, d3.js ☁️Cloud & DevOps— Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Docker, CI/CD, Lambda Labs, Coreweave, RunPod, Banana.dev, SkyPilot 💻 Programming Languages — Python, R, SQL, JavaScript, Scala 🤖 Process Automation —Make, Zapier, n8n, Airtable
$85 hourly
Eben O.
- 4.9
- (56 jobs)
North Haven, CT
Deep Learning
Electronic Design
Hardware Prototyping
Electrical Engineering
Hardware Design
Microcontroller Design
KiCad
Analog Electronics
PCB Design
Circuit Design
Digital Electronics
Embedded System
Computer Vision
Raspberry Pi
Microcontroller Programming

Full-stack electronics designer. With expertise in board design and firmware engineering, I can take your idea from concept to production ready, or help improve your existing product. Services include: - Requirements analysis and system architecture - Analog and digital circuit design - PCB layout, high speed/high density expertise - Microcontroller and FPGA code development - Prototype assembly and testing - Mechanical codesign - Contract manufacturing liason - Reverse engineering/debugging/component lifecycle management
$50 hourly
Chinmay D.
- 5.0
- (11 jobs)
Hyderabad, TELANGANA
Deep Learning
Content Writing
Data Analysis
Article Writing
Artificial Intelligence
TensorFlow
Python
Natural Language Processing
Computer Vision
pandas
Data Science
Data Mining
PyTorch
Machine Learning

Statistical Analysis | Predictive Modelling | Data Visualisation | Image Classification | Image Detection | Image Recognition With experience on data collection through web scrapes, XML/Json data pull using APIs (Twilio, Pushbullet, Telegram, etc.), data mining from existing data dump, I have assisted many clients in the past few years on their data analytical needs such as Stock Market predictions, weather forecasting, fraud detection on employee reimbursement forms. I have extended my deliverables while including Natural Language Processing tools like topic modeling, word frequency count, n-gram model, etc. for Twitter sentiment analysis, Hotel review analysis, News classification, and likes. Under the Computer Vision umbrella, I have worked on Image Classification, Image recognition and Image detection - both for real-time as well as existing data set. For such deep learning, I have generally used CNN in Tensorflow, Keras, Pytorch, Fastai, Sklearn, Pandas.
$60 hourly
Abhishek G.
- 4.7
- (168 jobs)
New Delhi, DL
Deep Learning
Python Script
Automation
Predictive Analytics
Data Analysis
Git
Algorithm Development
Desktop Application
Quantitative Research
Investment Research
Quantitative Finance
Statistical Analysis
Machine Learning
Python
Data Science

💎 Top Rated Plus | 🚀 100% Job Success Score 💪 12+ Years of Experience| 🎯 550+ Successful Projects | 💼 Upwork Skill Certified "My deliverable is not the product/service but your satisfaction with it" Bringing cutting-edge AI and algorithmic trading strategies to life, I am your go-to expert for innovative tech solutions. From GPT-4 and ChatGPT applications to advanced quantitative analysis including Algorithmic Trading and Data Science, reach out to me for unparalleled project advice. With a knack for developing sophisticated algorithms and creating fully automated apps, I specialize in transforming complex problems into elegant, efficient system. My expertise includes: - Creation of robust Algorithmic Trading Systems with seamless broker (Interactive Brokers, Zerodha, MT5, Alpaca and any other) integration - Mastery in AI chatbot development with GPT-4, ChatGPT, and other large language models - Comprehensive model development for Machine Learning and Deep Learning - Streamlined order execution via Telegram and advanced QuantConnect algorithms - In-depth experience with financial modeling and quantitative derivatives valuation
$42 hourly
Antonis S.
- 5.0
- (4 jobs)
Athens, ATTICA
Deep Learning
Data Mining
GitHub
CI/CD
Mathematics
Exploratory Data Analysis
Dashboard
Python
Computer Vision
TensorFlow
Data Science
Machine Learning
Reinforcement Learning
Physics

Hello there! Nice to check my profile, take your time and check all the sections. Send me a message if you want more info! -Who am I: I am a Data Scientist from Greece that is passionate about doing data science projects in tech. I have three years of working experience in the industry working with different companies both in the Netherlands and Greece -Past Working Experience: In the past, I worked on projects with companies such as Omron, ASML, TE Connectivity, FeedCalculator. -Past Educational Experience: Diploma (Bachelor and Masters ) Applied Mathematics and Physics Master in Nanotechnology Professional Doctorate Engineering in Data Science -Technical Strengths: Language: Python Strong: Machine Learning, Data Mining, Data Analysis, Machine Learning in Production. Moderate: Reinforcement Learning Experienced in Data Engineering skills. Experienced in Docker, Version Control, Deployment (GCP, Azure) CI/CD -Soft Skills: Participated in workshops related to: 1) Creative Thinking 2) Leadership 3) Teamwork 4) Design Thinking 5) System Thinking -Other achievements: 1 Patent in Machine learning and Manufacturing 1 Paper in Machine learning and Nanotechnology I looking forward to hearing your proposal.
$80 hourly
Yusuf M.
- 5.0
- (42 jobs)
Dubai, DU
Deep Learning
Linux
PyQt
Microsoft Windows
Raspberry Pi
Artificial Intelligence
OpenCV
Natural Language Processing
Python
Machine Learning Model
Machine Learning
Neural Network
Computer Vision
Artificial Neural Network

I am a software developer and researcher. My knowledge in this field will help me solve any problem in this field. Moreover, my devotion to the job will encourage me to carry any difficult tasks. I have the skills which will aid me to maintain a good relationship with clients and team members. My positive attitude will always keep me on the right track. My hardworking attitude will be useful for the development of the company I have 5+ years of experience in software development and machine learning; Tools and technologies: — LLM — ChatGPT — RAG — NLP — LLMs & ChatGPT — Machine Learning and Deep Learning ; — CNN, ANN — Keras — Tensorflow — PyTourch — Python — YOLO — PyQt5 — C/C++ — C# — IoT & Embedded Systems — Java — Arduino — Raspberry Pi — Automation — Web (HTML, CSS, JavaScript) — Node.js — Vue — Arduino — Raspberry PI — Flutter
$40 hourly
Muhammad A.
- 4.8
- (190 jobs)
Islamabad, ISLĀMĀBĀD
Deep Learning
AI Implementation
AI Development
Data Analysis
LangChain
TensorFlow
PyTorch
Data Science
AI Bot
Chatbot Development
Computer Vision
AI Chatbot
Generative AI
Natural Language Processing
Retrieval Augmented Generation
Large Language Model
Python
AI Agent Development
Machine Learning
Artificial Intelligence

I specialize in architecting and deploying production-grade AI systems that solve complex business problems. I don't believe in 'one-size-fits-all' automation; I engineer bespoke AI solutions—ranging from intelligent data processing engines to autonomous, decision-making AI agents—designed to scale alongside your business. Whether you are looking to integrate advanced Large Language Models into your existing infrastructure or need to build a custom RAG (Retrieval-Augmented Generation) system to unlock insights from massive, unstructured datasets, I provide the technical expertise to bridge the gap between AI research and real-world utility. My Technical Proficiency: LLM & Generative AI Engineering: Development of advanced RAG pipelines to enable models to interact with proprietary, knowledge-base data. Prompt engineering at scale, ensuring structured, deterministic output (JSON/Schema enforcement). Implementation of Function Calling and tool-use agents that allow AI to interact with external databases and APIs autonomously. Backend & System Architecture: Expertise in Python for backend development, data processing, and custom script development. Building robust API infrastructures (FastAPI) to serve AI applications with low latency and high concurrency. Designing event-driven architectures to handle high-volume data ingestion and complex logic workflows. Data Intelligence & Infrastructure: Experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) for semantic search and efficient data retrieval. Advanced ETL and data sanitization pipelines—cleaning, validating, and structuring chaotic inputs for model consumption. System Integrity & Reliability: Robust error handling and logging to ensure system resilience. Prioritizing security and data privacy in all model interactions. Why work with me? I bring a rigorous engineering mindset to every project. My focus is on system stability, scalability, and performance. I don't just build scripts that run once; I engineer solutions that are designed to handle production-level load and provide high-value, reproducible outcomes. If you are looking for an AI Engineer who treats your technical architecture with the precision it deserves, let’s discuss your current infrastructure and how we can elevate it with custom AI logic.
$100 hourly
Rehan H.
- 5.0
- (91 jobs)
Lahore, PUNJAB
Deep Learning
AI Consulting
Startup Consulting
OpenAI API
Next.js
React
Node.js
AI App Development
API Integration
AI Agent Development
Natural Language Processing
LLM Prompt Engineering
LangChain
Retrieval Augmented Generation
Large Language Model
AI Development
Full-Stack Development
Python
Machine Learning
Artificial Intelligence

I build AI agents and autonomous agentic systems that complete multi-step tasks without hand-holding. RAG systems that let your users query private documents, databases, or knowledge bases accurately. LLM apps built on OpenAI, Anthropic Claude, Gemini, or open-source models, fine-tuned and prompt-engineered for your use case. Voice agents and voice AI products. Full-stack web applications with Python, Golang or Node.js backends and React/Next.js frontends. Machine learning models for NLP, classification, and prediction. API integration that connects your AI layer to CRMs, databases, and third-party services. AI chatbots for support, sales, and internal workflows. A few use cases: ⏵ AI Agents -- multi-agent pipelines, autonomous task systems, tool calling, MCP, orchestration ⏵ RAG Systems -- document retrieval, knowledge base search, structured outputs, cited answers ⏵ LLM Apps -- prompt engineering, LangChain, LlamaIndex, LangGraph, CrewAI, fine-tuning workflows ⏵ Voice Agents -- call handling, lead qualification, live transfer, conversation summarization ⏵ Document Intelligence -- PDF, invoice, contract, legal/medical and form extraction into structured data ⏵ Full-Stack AI Development --- Python, Node.js, React, Next.js, REST APIs, cloud deployment ⏵ AI Integration -- API integration, webhooks, Sheets, Airtable, Make, Zapier, Slack, CRMs, ERPs, payment flows ⏵ Languages and frameworks: Python, JavaScript, React, Next.js, Node.js, Bunjs, LangChain, LangGraph, PyTorch, TensorFlow. Infrastructure: AWS, Supabase, Pinecone, Weaviate, Redis. I use n8n or Make when a workflow tool is genuinely the right choice and never as a substitute for real engineering. ⋞▬ HOW I WORK ▬▬⮞ No mystery work. No polite silence while something burns. No pretending a demo is production. Async communication that respects your timezone. Client work comes first. Risks surface early. I explain decisions in plain English. Systems are built to stay maintainable after handoff. If the miss is on me, I fix it, reduce the invoice, or refund - I would rather lose money than pretend something landed when it clearly did not. Even your rough idea for mvp AI agent and RAG projects regularly move from spec to production in under 48 hours. Speed matters. But only if the system still works when real people start clicking buttons and ignoring instructions. Most of my clients are looking for a long-term engineering partner, not a one-off contractor - I'm built for that relationships so If you are building something with LLMs, AI agents, or RAG and need an AI engineer who delivers and stays accountable, drop a message!
$45 hourly
Ruhil D.
- 5.0
- (5 jobs)
Cherry Hill, NJ
Deep Learning
Organic Chemistry
Chemistry
Exploratory Data Analysis
Materials Characterization
Statistical Analysis
Artificial Intelligence
Data Analytics
Data Science
Machine Learning
Python
Natural Language Processing
Materials Engineering
Industrial Internet of Things

I am a Materials Science Ph.D. and AI/ML consultant specializing in machine learning, industrial AI, materials informatics, chemistry-driven process optimization, and decision-support systems. I help technical teams turn messy experimental, operator, sensor, process, and production data into predictive models, dashboards, and AI workflows that support faster decisions, lower chemical usage, better process control, and measurable operational savings. I have worked directly with CTOs, process engineers, plant operators, project managers, and technical leadership to translate operational problems into deployable AI solutions. My focus is accelerating decision making. What I deliver: • Real-time prediction models for industrial and chemistry-driven processes • Decision-support AI tools for operators, engineers, and managers • Machine learning models for process optimization, quality control, and performance prediction • Transformation of operator logs and process records into clean, model-ready datasets • Exploratory data analysis to identify process drivers, anomalies, and failure patterns • Anomaly detection for sensor, production, experimental, and operator-recorded data • Time-series modeling for process monitoring, forecasting, and live decision support • Tree-based regression and classification models for interpretable industrial prediction • Hierarchical classification workflows for complex scientific and materials datasets • Deployment-ready dashboards and applications for technical users Relevant industrial AI experience: • Built predictive models for real-time process variables, including treatment performance, effluent quality, chemical response, and operational stability. • Developed decision-support workflows that helped operators evaluate process conditions and accelerate treatment decisions. • Converted inconsistent operator logs and process records into structured datasets for machine learning, dashboarding, and deployment. • Created models to support chemical dosing optimization, reducing unnecessary chemical use while maintaining target process outcomes. • Built classification and prediction workflows for complex materials, chemistry, and industrial datasets. • Developed exploratory analytics and anomaly-detection workflows to identify abnormal process behavior and data-quality issues. • Designed model-development pipelines covering data cleaning, feature engineering, model training, evaluation, interpretation, and deployment. • Delivered working applications and dashboards for stakeholders including engineers, managers, operators, and executive leadership. Core expertise: • Industrial AI and machine learning model development • Materials informatics and chemistry-driven process modeling • Exploratory data analysis and process-data diagnostics • Anomaly detection and outlier analysis • Time-series modeling and real-time prediction • Regression, classification, and hierarchical classification • Tree-based modeling, feature importance, and model interpretation • Decision-support dashboard and application development • Scientific data cleaning, visualization, and reporting • End-to-end project execution from raw data to deployed tool Selected project areas: Industrial Process Prediction and Decision-Support AI Developed industrial AI work includes developing machine learning models and operator-facing decision-support tools for real-time process prediction, chemical dosing support, treatment performance monitoring, and process optimization. I converted operator-recorded and real-time process data into structured datasets, predictive models, and user-facing applications that helped operators and engineers make faster treatment, dosing, and process-control decisions. These tools reduced decision time, supported live process monitoring, and identified potential operational savings of $100K–$200K per year through improved chemical use and process control. Materials Informatics and Scientific ML Built predictive models for materials-property estimation, chemistry-performance relationships, and scientific feature engineering. Work includes modeling alloy properties, chemistry-driven performance, and complex experimental datasets. Anomaly Detection and Process Diagnostics Created workflows to identify abnormal sensor behavior, inconsistent operator records, outlier samples, and unusual process conditions. These analyses helped improve data quality and model reliability before deployment. Why Work With Me? I combine deep scientific training with practical AI/ML development. My strength is translating complex technical data into models, dashboards, and decision-support tools that operators, engineers, and managers can use. I can help you move from raw, messy data to a working AI solution that supports better decisions, faster analysis, and measurable operational value.
$55 hourly
Virender B.
- 4.9
- (20 jobs)
Noida, UTTAR PRADESH
Deep Learning
Retrieval Augmented Generation
NVIDIA Omniverse
Conversational AI
Natural Language Processing
LLM Prompt Engineering
PyTorch
AI Agent Development
Artificial Intelligence
Machine Learning
Google Cloud Platform
Apache Flink
Python

10+ years of experience in architecting, designing and developing software across large scalable distributed systems and web applications. In my past experiences, I have been responsible for end-to-end development of features for Paytm Mall (Ecommerce), Paytm Smart Retail (B2B) and Paytm For Business(Merchant Platform). I am currently working on development of inhouse analytics platform for flipkart as Abobe Analytics is not scaling anymore at Flipkart's scale. Languages: Java, Scala, Python, JS Technologies: Spring, Spring Boot, Apache Flink, Spark,Django , Node.js, Express, Flask Data: Hibernate, Hadoop, Hive, Hbase, Druid, MySQL, SQLite, PostgreSQL, Elastic Search, Redis, SQLAlchemy Others: Kafka, RabbitMQ, Jenkins, Kibana, Nginx, Gunicorn, Celery, Supervisor, Datadog, JIRA, Git, CI/CD, TDD
$90 hourly
Vivek J.
- 5.0
- (4 jobs)
Bengaluru, KARNATAKA
Deep Learning
Data Mining
Exploratory Data Analysis
Data Visualization
Data Science
Machine Learning
Python
Natural Language Processing

Want to bridge the gap between AI hype and real ROI? I design and deploy production-grade GenAI, Agentic RAG systems, and advanced ML models that cut costs and scale businesses. With 14+ years of experience across E-commerce, FinTech, HealthTech, and Supply Chain, I don't just build models—I build intellectual property (including patent-pending architecture) that drives millions in revenue. ### Core Expertise & How I Can Help You: * **Generative AI & Agents:** Building autonomous agentic frameworks (CrewAI, AutoGen) and custom RAG pipelines to automate complex enterprise workflows. * **Predictive Analytics & Forecasting:** Drastically reducing forecast errors (e.g., cutting demand forecasting WAPE from 100% to 35%). * **Marketing & Ad-Tech Intelligence:** Multi-touch attribution modeling (Nielsen standards) and Amazon campaign optimization. * **MLOps & Scalable Infra:** Deploying robust models on AWS, Azure, and Google Cloud using Docker, MLflow, and Vector Databases. ### Featured Case Studies: * **Patent-Pending Product Matching:** Designed a multi-modal architecture to identify competitor product matches with elite precision. * **Agentic RAG System:** Built a high-efficiency query system over massive, mixed structured/unstructured datasets. * **Identity Graphs at Scale:** Handled billions of nodes to reduce cluster sizes and uncover hidden identity relationships. --- I also hold a degree from one of India's premier technology institutes. My dedication to integrity and excellence has been recognized through multiple awards, including being named among the top 20 emerging leaders in data and analytics at the Data World Summit in India Few of the challenging projects I have worked on: Product Matching - Designed and developed end-to-end solution using a multi model architecture to identify best matching competitor product, currently in the process of filling provisional patent Assortment Intelligence System - Developing an Agentic RAG System to efficiently handle queries on a competitor dataset composed of structured and unstructured data Multi-touch Attribution problem: Helped identify the impact of online marketing on offline sales and help you tweak campaigns in real times. ROI results were comparable to industry standard-Nielsen Amazon Campaign Optimisation: Helps in the organic growth of products sold on Amazon Social Media Search Tool - Helps in the identifying the relevant posts, sentiments and themes for a given query as input Demand Forecasting: Reduced the WAPE of thousands of products and their bundles from ~100% to ~35% Pattern Identification: Built an automated system that can identify important patterns in the data Identity graph: Found important identities and reduced the cluster sizes using billions of nodes Tools & Technologies:Programming - Python, SQL; Cloud Platforms – Azure ML, AWS, Google Vertex AI; MLOps - Docker, CI/CD, MLFlow ; Big Data – Spark; Version Control - Azure Devops, Git ; Database & Vector Search -PostgreSQL, Snowflake, Milvus, FAISS AI/ML Libraries & Frameworks: Machine Learning - Scikit-learn, XGBoost, LightGBM ; Deep Learning: TensorFlow, PyTorch, Keras; Transformers & NLP - Hugging Face Transformers, SpaCy, NLTK ; LLMs -GPT, BERT, LLama, Mistral, Qwen, Phi; Agentic Frameworks – Langchain, Autogen, Crewai
$80 hourly
Adrian G.
- 5.0
- (2 jobs)
Chambesy, GE
Deep Learning
Jira
Business Analysis
Requirements Specification
Functional Testing
Statistical Analysis
Natural Language Processing
spaCy
Scrum
Machine Learning
Python Scikit-Learn
pandas
Python

I run a Linkedin system that books 12-24 meetings per month on auto-pilot. DM me GO to learn more. 10+ years of experience in software development. My mission is to build predictable client acquisition systems for business growth. 🌎 I speak French 🇫🇷 • Spanish 🇪🇸 • English 🇬🇧 • German 🇩🇪 (B2) Best Case Studies: 🔹 End-to-end lead engine for a video compression startup (SpeedSize) adding $5k in MRR 🔹 Conversion Rate Optimization for food e-commerce adding $10k in MRR. What Others Say ⭐️⭐️⭐️⭐️⭐️ “Adrian blends technical expertise with sharp sales thinking.” — GP @ Allegory Capital ⭐️⭐️⭐️⭐️⭐️ “A rare combo: data-driven, creative, and reliable.” — Quant Strategist @ Millennium
$45 hourly
Muhammad S.
- 5.0
- (8 jobs)
Sargodha, PUNJAB
Deep Learning
FastAPI
API Integration
Generative AI Software
Generative AI
LangChain
Natural Language Processing
Deep Learning Framework
Machine Learning
Artificial Intelligence
Python
Full-Stack Development

As an AI/ML Engineer with a Master's in Artificial Intelligence, I bridge the gap between cutting-edge AI research and production-ready business applications. I don't just write simple AI scripts. I design, build, and deploy complete, intelligent architectures and scalable backend systems. With a strong foundation in both technical execution and academic AI research, I specialize in building custom AI Agents, RAG (Retrieval-Augmented Generation) pipelines, and LLM-powered architectures that automate complex workflows and drive business growth. 🚀 Core AI & Machine Learning Services: 🔹 Custom RAG Systems (Retrieval-Augmented Generation): I build highly accurate context-retrieval systems using LangChain, FAISS, and vector databases. Whether you need to extract data from thousands of documents, query internal databases, or build a conversational interface for long-form media transcripts (like YouTube videos), I ensure the AI grounds its answers strictly in your proprietary data. 🔹 AI Agents & Conversational AI: I develop autonomous agents and intelligent chatbots using OpenAI APIs and open-source models. From custom e-commerce shopping assistants that provide tailored product recommendations to internal customer support bots, I design the AI's persona, logic, and integration to match your exact needs. 🔹 Deep Learning & Computer Vision: My background includes extensive, rigorous research in deep learning, specifically in the segmentation and classification of complex imagery. I apply advanced neural network architectures and computer vision techniques to custom image processing, object detection, and data classification projects. 🔹 Intelligent Workflow Automation: I engineer automated, logic-driven pipelines that save hundreds of manual hours. This includes building end-to-end systems for data processing, where incoming information is evaluated against specific business thresholds, stored systematically, and used to trigger automated, intelligent responses. 💻 AI Architecture & Backend Integration: An AI model is only as good as the infrastructure supporting it. I build the robust backend systems required to bring machine learning into production securely and efficiently: AI & ML Frameworks: LangChain, LlamaIndex, OpenAI API, Hugging Face, Custom Deep Learning Models Backend & APIs: Python, FastAPI, API Development & Integration Databases & Vector Stores: SQL, FAISS, Pinecone, ChromaDB Workflow Logic: Complex data extraction, automated reasoning, and scalable pipeline architecture
$50 hourly
Grigor A.
- 5.0
- (3 jobs)
Yerevan, YEREVAN
Deep Learning
Flask
Exploratory Data Analysis
Statistics
Back-End Development
Web Scraping
SQL
Communications
Presentations
Business Intelligence
Django
Python
Data Modeling
Data Analysis
Statistical Analysis
Data Science
Machine Learning
Data Visualization

Overview: Welcome to my Upwork profile! As a seasoned Data Scientist, Product Data Analyst, and Visualization Expert, I specialize in transforming complex data into compelling visual stories and actionable product insights. With a robust technical background and a creative approach to data presentation, I empower businesses to make informed decisions and engage stakeholders effectively. Skills: Data Cleaning and Preparation: Proficiency in handling and preparing data for analysis. Data Analysis and Exploration: Skills in exploring and analyzing datasets to find patterns or insights. Statistical Knowledge: Understanding of statistical methods and techniques. Data Visualizations: Creating meaningful visual representations of data. Dashboards and Reports: Developing interactive dashboards and detailed reports. Writing and Communication: Ability to clearly articulate findings and insights. Domain Knowledge: Understanding of the specific industry or domain you're working in. Problem Solving: Effective problem-solving skills using data-driven approaches. Statistical and Analytical Techniques: Expertise in extracting insights from data. Machine Learning Models: Building and predicting trends using machine learning. Programming Languages: Proficiency in SQL, R, Python. Data Mining and Exploration: In-depth knowledge in data mining techniques. Data Visualizations and Reports: Creating compelling visualizations and detailed reports. Big Data Analytics Technologies: Familiarity with technologies like Spark and Hadoop. Machine Learning and Statistical Models: Expertise in machine learning and statistical modeling. Business Intelligence: Understanding of BI concepts and applications. Cloud Infrastructure: Familiarity with cloud-based solutions. Unstructured Data Processing: Skills in handling and processing unstructured data. Specialized Tools and Technologies Google Analytics 4 (GA4) & Amplitude: Advanced proficiency in these tools for robust web and product analytics. Looker & Looker Studio: Expertise in data exploration and visualization using Looker tools. Google Data Studio, Tableau, Power BI: Skilled in creating dynamic reports and dashboards with these leading data visualization tools. Metabase: Knowledgeable in Metabase for simple and effective data exploration. Google Cloud & BigQuery: Proficient in leveraging Google Cloud's infrastructure and BigQuery for large-scale data analysis. Web Scraping & Scrapy: Expertise in web scraping for data extraction, employing tools like Scrapy for advanced web crawling.
$35 hourly
Zeeshan A.
- 5.0
- (4 jobs)
Wah Cantt, PUNJAB
Deep Learning
Google Cloud Platform
AWS CloudFormation
AWS Lambda
Convolutional Neural Network
Long Short-Term Memory Network
Artificial Neural Network
PyTorch
TensorFlow
Data Cleaning
Keras
Data Mining
Machine Learning
Data Science
Data Analysis

I help startups and businesses design, build, and deploy AI systems that are salable, maintainable, and aligned with real business goals. With 4+ years of experience as an AI / Machine Learning Engineer, I work across the full life cycle from requirements and data understanding to deployment and optimization. My focus is clean architecture, clear communication, and long‑term reliability. If you want AI that works beyond demos, let’s discuss your project.
$45 hourly
Pallavi J.
- 5.0
- (11 jobs)
Pune, MAHARASHTRA
Deep Learning
PostgreSQL
React
ASP.NET
Microsoft Azure
Python
Machine Learning
Natural Language Processing
OpenAI API
Vector Database
LangChain
Retrieval Augmented Generation
Large Language Model
AI Agent Development
AI Development

𝟭𝟲+ 𝗬𝗘𝗔𝗥𝗦 𝗘𝗫𝗣𝗘𝗥𝗜𝗘𝗡𝗖𝗘 | 𝗔𝗥𝗖𝗛𝗜𝗧𝗘𝗖𝗧 | 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 | 𝟭𝟬𝟬% 𝗝𝗢𝗕 𝗦𝗨𝗖𝗖𝗘𝗦𝗦 | 𝗠𝗖𝗦𝗔 𝗖𝗘𝗥𝗧𝗜𝗙𝗜𝗘𝗗 I help startups and enterprises build production-grade AI systems — including RAG pipelines, intelligent document processing, and multi-agent architectures. With deep expertise across Azure OpenAI, LangChain/LangGraph, Semantic Kernel, .NET, Python, and cloud-native engineering, I design solutions that are stable, scalable, and ready for real-world deployment. My focus is turning complex workflows into intelligent, automated systems that deliver measurable business outcomes. 💡 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 AI Systems 🔹 RAG platforms with hybrid & semantic search over vector databases 🔹 AI agents and multi-agent workflows with orchestration and memory 🔹 AI tutors, assistants, and workflow automation 🔹 Computer vision and document intelligence solutions SaaS & Cloud Architecture 🔹 Multi-tenant SaaS with tenant isolation 🔹 Event-driven systems and microservices 🔹 High-scale API design, caching, load balancing 🔹 Azure and AWS cloud-native deployments 🎯 𝗧𝗥𝗔𝗡𝗦𝗙𝗢𝗥𝗠𝗔𝗧𝗜𝗢𝗡𝗦 𝗜 𝗗𝗘𝗟𝗜𝗩𝗘𝗥 ✔️ Up to 90% reduction in document processing time ✔️ 10x faster research workflows using RAG + hybrid search ✔️ 70% reduction in support tasks using AI agents ✔️ Automated pipelines that turn unstructured data into structured insights 🧩 𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗘𝗗 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 📘 AI Earnings Report Analyzer (Finance) Built an end-to-end pipeline using Azure Functions, Blob Storage, Semantic Kernel, and Azure Open AI. Result: Generated insights, summaries, and valuations from 40–60 page reports in under a minute. 🎓 Multi-Agent EdTech Learning Platform (Education) Designed chat, quiz, mindmap, and document-processing agents using LangGraph and OpenAI. Result: Automated 80% of content-generation workflows. 🧠 𝗔𝗜 & 𝗠𝗟 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘 LLMs 🔹 OpenAI, Claude, Llama 3, Mistral 🔹 Prompt engineering, function calling, fine-tuning 🔹 RAGAS and DeepEval for evaluation RAG & Search 🔹 pgvector, Pinecone, Milvus, Azure AI Search, FAISS 🔹 Chunking, embeddings, grounding, semantic search, citation generation Agents & Workflow Orchestration 🔹 LangGraph, Semantic Kernel, AutoGen, CrewAI, Microsoft Agent Framework 🔹 Multi-step reasoning, memory, tool-calling Computer Vision & Voice AI 🔹 YOLOv8, OpenCV, Azure Computer Vision 🔹 Azure Speech, Deepgram Document Intelligence 🔹 Azure Document Intelligence, Tesseract, PaddleOCR 🔹 Structured extraction, table parsing, handwriting recognition ML & Predictive Analytics 🔹 Forecasting, anomaly detection, MLOps pipelines ⚙️ 𝗙𝗨𝗟𝗟-𝗦𝗧𝗔𝗖𝗞 & 𝗖𝗟𝗢𝗨𝗗 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 Backend: C#, .NET 6/7/8, ASP.NET Core, Python, FastAPI, Node.js, REST APIs, Webhooks Frontend: React, Next.js, TypeScript, Tailwind Databases: PostgreSQL, SQL Server, MongoDB, Redis, Cosmos DB Cloud: Azure Functions, Azure AI Services, AKS, AWS Lambda, API Gateway, S3, DynamoDB, AWS Bedrock DevOps: Docker, Kubernetes, GitHub Actions, Azure DevOps 🏗️ 𝗔𝗥𝗖𝗛𝗜𝗧𝗘𝗖𝗧𝗨𝗥𝗘 & 𝗟𝗘𝗔𝗗𝗘𝗥𝗦𝗛𝗜𝗣 🔹 Domain-driven design and microservices 🔹 Multi-tenant SaaS architecture 🔹 Event-driven systems and CQRS 🔹 High-scale API design & performance optimization 🔹 Technical leadership, ADRs, system design 🌟 𝗖𝗟𝗜𝗘𝗡𝗧 𝗧𝗘𝗦𝗧𝗜𝗠𝗢𝗡𝗜𝗔𝗟𝗦 "Pallavi exceeded expectations on every level. Perfect in communication, proactive in leadership, and detail-oriented while keeping sight of the big picture." ⭐⭐⭐⭐⭐ "I am pleased to write this review for Pallavi, who has consistently demonstrated excellence in her role as a team Lead. Her deep technical expertise, leadership qualities, and collaborative spirit have made a significant impact on our team's productivity and morale." ⭐⭐⭐⭐⭐ ""Pallavi was an incredible and extremely valuable member of our team. she took ownership of her projects, she was focused on making sure our technology solutions aligned with with future growth strategies and she was deeply invested in our mission as a company" ⭐⭐⭐⭐⭐ 📩 𝗟𝗘𝗧'𝗦 𝗕𝗨𝗜𝗟𝗗 𝗦𝗢𝗠𝗘𝗧𝗛𝗜𝗡𝗚 𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗧 𝗧𝗢𝗚𝗘𝗧𝗛𝗘𝗥 Whether you need an AI architect, a hands-on engineer, or a long-term tech partner, I help teams ship reliable, scalable, production-grade AI solutions. Let’s turn your AI roadmap into real results.
$55 hourly
Andrii P.
- 5.0
- (36 jobs)
Zaporizhzhia, ZAPORIZKA OBLAST
Deep Learning
.NET Framework
Desktop Application
Front-End Development
Xamarin
Kotlin
OCR Algorithm
DNN
CUDA
English
Mobile App Development
Android App Development
Neural Network
Object Detection
YOLO
OpenCV
Data Science
Machine Learning
Computer Vision

Experienced in: 1. Computer vision • C++, Python, OpenCV, CUDA, Git, Linux, Qt, Boost, OpenGl, PCL, Strong math background, Neural Networks - road segmentation for unmanned vehicles (ENet, Caffe, OpenCV, C++, Linux) - car tracking (Yolo v3, OpenCV, C++, Linux) - wagon number identification (Yolo v4, Python) - implementation of real time 360°/perspective camera transformation on Cuda (C++, Cuda, OpenCV, Linux, Jetson Nano) - distance calculation to point on 2D camera frame (C++, OpenCV, Linux) - automate grading system for handwritten answer sheets (computer vision part, OpenCV, Java, Android Key stack: Linux, C++ (Qt), Python, Java, OpenCV, Yolo (darknet) 2. Machine Learning Machine learning research projects in the following domains: - person segmentation (ModNet, RVM, TDNet, UCTransNet, XMem etc.) - image inpainting (Pen-Net, Deepfillv2, Shift-Net, ViNet etc.) - image upscale (RDN, RRDN, Stable Diffusion, ISR etc.) - image relighting (Total Relighting, DPR, RelightNet etc.) - road segmentation for unmanned vehicles (ENet, Caffe, OpenCV, C++, Linux) - car tracking (Yolo v3, OpenCV, C++, Linux) - wagon number identification (Yolo v4, Python) - implementation of real time 360°/perspective camera transformation on Cuda (C++, Cuda, OpenCV, Linux, Jetson Nano) - distance calculation to point on 2D camera frame (C++, OpenCV, Linux) - automate grading system for handwritten answer sheets (computer vision part, OpenCV, Java - Android, IOS - Swift) Key stack: Linux, Python, Pytorch, Tensorflow, OpenCV, Pillow, Numpy, C++, CUDA, Darknet, SegNet 3. Robotics and Embedded development: - OCPP Protocol, Linux, Modbus, Raspberry Pi, CAN; -ROS Robot operating system; - Skilled in SLAM, localization, mapping - Experienced in path planning algorithms, obstacle avoidance, holonomic, and non-holonomic motion planning, trajectory planning for robotics arms; - Used to work with Bayesian/Kalman filters, and sensor fusion (LiDAR, IMU, Visual, Odometry, Radar, GPS). 4. Android development (Kotlin, Java, Android Studio, Eclipse, Firebase). Has expert colleagues in: • .Net Framework (C#, VB.Net, ASP.Net, .Net Core, WPF, UWP,WCF, ADO.Net) • Java (j2se, j2ee, servlets, java beans, Maven) • JavaScript (Node.JS, Express.js, Vue.js, Element.js, Angular.js, D3.js) • C++ (TCP/IP, HTTP, HTTPS, WebSocket, Modbus) • Python (MAVLink, WebSocket) • Step7 (S7 Communication, OCPP, Modbus, CANOpen, ProfiNet) Database • PostgreSQL • MySQL • MongoDB • Microsoft SQL • Oracle Database • Neo4J Software development for mobile platforms • Crossplatform React Native, Flutter, Xamarin, • Android (Kotlin, Java, Android Studio, Eclipse) • iOS (Objective C, Swift) Mobile apps development: • Crossplatform: Futter, React Native, Xamarin. • Android (Java, Kotlin) • iOS (Objective C, Swift) 1. Native Development - Kotlin/Java - Swift / Objective-C - iOS/macOS/tvOS/watchOS - Firebase, CloudKit, Coredata 2. Cross-Platform and Hybrid App Development - React Native/React - Flutter / Dart - Xamarin.iOS / Xamarin.Android / Xamarin.Forms tech stack ● Android Studio, Gradle, Kotlin DSL, KSP ● Kotlin, Java programming languages ● AndroidX, Android Jetpack libraries, Android Architecture Components ● Jetpack Compose ● Material Design Components ● Clean Architecture, SOLID design principles ● MVVM, MVI, GoF design patterns ● Modularization (multi-module projects) ● Kotlin Coroutines + Flow, RxJava, RxBinding ● REST API / Networking - OkHttp, Retrofit 2, Socket IO ● Room Database, SQLite, Datastore ● Kotlinx Serialization, Protobuf, Moshi, Gson ● Dependency Injection (Hilt, Dagger 2, Koin) ● Git ● Firebase Products, Google Cloud APIs, HMS Services ● Admob, Google Play Billing Library (in-app purchases), Samsung/Huawei IAP ● Unit / Instrumented (UI) tests ● Agile Scrum development methodology ● CI/CD (GitHub Actions) AR/VR: Vuforia ARkit/ARcore/AR Foundation Wikitude Oculus Integration OpenXR XR Interaction toolkit VR Walkthrough UltimateXR VR Interaction Framework Hardware expert: • Nvidia Jetson Nano, TX2, Xavier; • Raspberry Pi; • Arduino, STM32; • Depth cameras Intel Realsense d435i , Zed Sterelabs. • Lidars, Radars. Charging stations for the Electric Vehicles development software for the managing stations and networks (server and user applications): • C#, SQL, PostgreSQL, .Net Core, REST Api, WebSockets • OCPP Protocol, Linux, Modbus, Raspberry Pi Software development • .Net Framework (C#, VB.Net, ASP.Net, .Net Core, WPF, UWP,WCF, ADO.Net) • Java (j2se, j2ee, servlets, java beans, Maven) • JavaScript (Node.JS, Express.js, Vue.js, Element.js, Angular.js, D3.js) • C++ (TCP/IP, HTTP, HTTPS, WebSocket, Modbus) • Python (MAVLink, WebSocket) • Step7 (S7 Communication, OCPP, Modbus, CANOpen, ProfiNet) Database • PostgreSQL • MySQL • MongoDB • Microsoft SQL • Oracle Database • Neo4J
$35 hourly
Sumanshu A.
- 5.0
- (44 jobs)
Kellyville, NSW
Deep Learning
Generative AI
Retrieval Augmented Generation
Terraform
Kubernetes
dbt
Django
Artificial Intelligence
Data Analysis
SQL
Data Science
Python
Machine Learning
PyTorch
Natural Language Processing

🚀 AI Systems & Automation — Built for Real-World Use (Not Just Demos) I design and build production-grade AI systems that actually solve business problems - not just prototypes that look good in a demo. I work at the intersection of: AI / LLMs (ChatGPT, Claude) backend systems (Python, APIs, workflows) real-world operations (automation, decision systems, internal tools) Currently, I lead AI system design in a large enterprise environment, where we’re building agent-based automation workflows to process complex, messy data (documents, images, unstructured inputs) at scale. --- 🧠 What I’m Best At I don’t just “use AI” — I design systems around it. 1. AI Assistants & Copilots Internal tools that: search knowledge bases generate structured outputs assist teams with daily work RAG-based systems (retrieval + LLM) 👉 Example: Built an AI analytics assistant that generates SQL + insights from natural language queries --- 2. Workflow Automation (Where AI Actually Pays Off) Automating processes like: document handling support workflows decision pipelines 👉 Example: Built an AI system that reduced manual handling time by 80%+ --- 3. Document AI & Data Extraction Extract structured data from: PDFs forms images inconsistent formats 👉 Used in regulated environments where accuracy matters --- 4. AI-Driven Scoring & Matching Systems Ranking, prioritisation, and decision systems Perfect for: recruitment lead scoring marketplaces internal workflows --- 5. End-to-End AI Products I can build the full system: backend (Python / FastAPI / Django) AI layer (OpenAI, LLM workflows) UI (Streamlit or simple web apps) data storage (Postgres, etc.) --- 🛠️ Tech Stack Python, SQL OpenAI / LLMs / RAG FastAPI, Django, Streamlit Postgres, Snowflake, Databricks AWS / Azure Docker --- 🧩 How I Work I don’t overengineer. I typically: 1. Understand the real problem (not just the feature request) 2. Build a simple but strong first version 3. Add AI where it actually adds value 4. Make sure it’s usable, scalable, and maintainable --- 🏡 Bonus: Real Estate AI Product I also built PropertySignal.au — an AI-enabled suburb research platform that helps analyse property markets using data and modelling. --- 🤝 When I’m a Good Fit You’ll get the most value from me if you: want to build something real, not experimental need both AI + backend/system thinking care about quality, clarity, and long-term usability --- 💬 Let’s Talk If you have an idea, even if it’s rough - feel free to reach out. I’m happy to help shape it into something practical. and type of clients, I can tune this to maximise conversion.
$250 hourly
Jordan T.
- 5.0
- (5 jobs)
Bel Air, MD
Deep Learning
Artificial Intelligence
Keras
Natural Language Processing
TensorFlow
Computer Vision
PyTorch
Python
Artificial Neural Network

Need cutting-edge AI solutions or expert machine learning guidance? You're in the right place. With a track record of innovation used by tech giants and featured in major media outlets, I'm here to elevate your data science and machine learning projects. BACKGROUND -PhD in Computer Science from the University of Maryland -Bachelors in Physics/Pre-med with domain knowledge in finance -QinetiQ Fundamental Machine Learning Fellowship and Angelo Bardasis Fellowship recipient -15+ publications at major ML venues -2 patents -Maintainer of major open-source ML libraries with 100M+ installations (used by AWS, Google, Meta, Microsoft) -Open source libraries include taking over maintaining the Arcade Learning Environment (a benchmark that led to Google's acquisition of DeepMind) and OpenAI Gym (OpenAI's first widely publicized project many years ago) -Led ML teams in intelligence and semiconductor sectors -Contributor to almost all major open-source ML libraries -Expertise in integrating ML tools with domain-specific requirements and real-world data -Particular specialty in reinforcement learning (I've maintained many of the most widely used open source libraries in the space, and it was the focus of my PhD and 2 of my past firms) EXPERTISE -I offer end-to-end solutions, high-level planning advice, and targeted problem-solving for uniquely difficult challenges in: Machine Learning & AI -Deep Learning -Natural Language Processing (NLP) -Computer Vision (CNNs, YOLO) -Reinforcement Learning -Generative AI (GANs, Stable Diffusion) -Large Language Models (GPT, BERT) -Time Series Analysis Data Science & Analytics -Statistical Analysis -Time Series Forecasting -Predictive Modeling -Recommendation Systems Big Data & Databases -Distributed Computing -NoSQL Databases (MongoDB, Cassandra, MySQL) -Graph Databases (Neo4j) Software Engineering -Microservices Architecture -RESTful API Design -Version Control (Git) -CI/CD Pipelines Cloud & DevOps -Containerization (Docker) -Cloud Platforms (AWS, GCP, Azure) TECHNICAL STACK Programming: Python, C/C++, Java, R, MATLAB ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers Data Processing: Scipy, Pandas Visualization: Matplotlib, Seaborn, Plotly, ggplot Documentation: LaTeX, Markdown Databases: MongoDB, Cassandra, MySQL, Neo4j Given my unique blend of academic research, industry experience, and open-source contributions, I bring a high level of expertise to your data science and machine learning projects. Whether you need cutting-edge AI solutions, data-driven insights, or expert guidance on complex ML challenges, I'm equipped to deliver results that drive your business forward.
$35 hourly
Mayank L.
- 5.0
- (6 jobs)
Indore, MADHYA PRADESH
Deep Learning
Generative AI
Retrieval Augmented Generation
API Development
Software Development
API
FastAPI
GPT-3
ChatGPT
Python
Machine Learning
Chatbot
Keras
Computer Vision
Natural Language Processing

5y+ in AI / ML | trying to fix GEN AI and RAG related problems | not perfect but versatile I am a Machine Learning Engineer with 5+ years of experience in Applied AI, working across Generative AI, Natural Language Processing (NLP), and Computer Vision (CV). I also have experience in backend development, primarily using FastAPI, in the context of building AI related applications. I have mostly worked with early stage startups.
$45 hourly
Zubair S.
- 5.0
- (1 job)
Islamabad, ISLĀMĀBĀD
Deep Learning
Data Analytics
Tableau
Retrieval Augmented Generation
Apache Airflow
Machine Learning
Snowflake
Computer Vision
Cloudera
Microsoft Power BI
Databricks Platform
Microsoft Azure
Azure Service Fabric
AI App Development
Data Engineering

⭐ 𝐍𝐞𝐰 𝐭𝐨 𝐔𝐩𝐰𝐨𝐫𝐤, 𝐛𝐮𝐭 𝐧𝐨𝐭 𝐧𝐞𝐰 𝐭𝐨 𝐃𝐚𝐭𝐚 & 𝐀𝐈. With 7+ years of experience, I’ve built enterprise-scale data pipelines, lakehouse architectures, and AI solutions for fintech, SaaS, healthcare, and telecom. Now I’m here to bring that same expertise to Upwork clients. 🔹 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 → 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 – Databricks, Microsoft Fabric, Azure Synapse, Snowflake → 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞 & 𝐄𝐓𝐋 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 – Medallion (Bronze/Silver/Gold), Delta Lake, PySpark, Airflow, NiFi → 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐒𝐭𝐫𝐞𝐚𝐦𝐢𝐧𝐠 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 – Kafka, Event Hubs, Spark Streaming → 𝐀𝐈 & 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 – RAG chatbots for PDFs, docs, and enterprise data (LangChain, OpenAI, Pinecone, Azure AI Search) → 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – OCR, object detection (YOLOv8), pose estimation, video analytics → 𝐃𝐞𝐩𝐥𝐨𝐲 & 𝐒𝐜𝐚𝐥𝐞 – FastAPI/Flask APIs, Docker, CI/CD, monitoring with OpenSearch & Grafana → 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 – Power BI, Tableau dashboards for clear insights 🔹 𝐏𝐫𝐨𝐯𝐞𝐧 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 → Reduced ETL runtimes by 70% with optimized Spark pipelines → Built a RAG chatbot improving document search accuracy by 40% → Delivered an OCR pipeline saving 20+ hours/week of manual effort → Migrated a legacy DW to Azure + Snowflake, cutting reporting costs 🔹 𝐖𝐡𝐲 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝 𝐡𝐢𝐫𝐞 𝐦𝐞 ✅ Certified – Azure Data Engineer Associate, Microsoft Fabric Data Engineer ✅ Cross-stack expertise – Data Engineering + AI/ML in one place ✅ Enterprise-ready – production-grade code, monitoring, and documentation ✅ Transparent & reliable – Clear milestones, communication, and delivery 📩 𝐋𝐞𝐭’𝐬 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐦𝐩𝐚𝐜𝐭. Send me your goal, data sources, and deadline, and I’ll propose a simple plan, clear timeline, and fixed estimate.
$80 hourly
Mehmet Gencay I.
- 4.8
- (16 jobs)
Mugla, BODRUM
Deep Learning
API
Content Writing
Technical Writing
Blog Writing
Artificial Intelligence
Data Visualization
Statistics
Matplotlib
OpenCV
Python
pandas
Machine Learning

🔝 𝟏% on Upwork - 🎖️ 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 - 𝟏𝟎𝟎% 𝐉𝐎𝐁 𝐒𝐔𝐂𝐂𝐄𝐒𝐒 I build production AI systems that ship and stay live. Over the past year, I transformed the operations of a 500K-user data science platform with AI agent products (using Google, OpenAI, and Claude). I rebuilt the content production engine of a UK marketing consultancy with AI (Claude Code, Gemini, and web scrapers). I shipped AI agent products for 16 European enterprise clients through a West European AI consultancy (OpenAI, Mistral, Gemini, and Microsoft Copilot). 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐢𝐧𝐬: ▣ 𝟓𝟎𝟎𝐊-𝐮𝐬𝐞𝐫 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 - Transformed their content engine by replacing manual workflows with 18+ AI agent products, scaling content output 30x. - Built their flagship AI agent product end-to-end with dual-provider routing and MCP-driven evaluation. - Trained their internal team to ship AI prototypes independently via Claude Code. ▣ 𝐔𝐊 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐜𝐲 - Transformed their content production with 20+ AI agent products across 6 marketing channels, with brand-voice enforcement so output never sounds AI-generated. - Replaced manual reporting with a live Meta Ads pipeline auto-shipping daily action plans to Drive at 9 AM. - Surfaced the highest-converting patterns from their historical performance data. ▣ 𝐖𝐞𝐬𝐭 𝐄𝐮𝐫𝐨𝐩𝐞𝐚𝐧 𝐀𝐈 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐜𝐲 - Shipped 20+ AI agent products across 16 enterprise clients in marketing, sales, finance, hospitality, and construction. - Built webhook pipelines that trigger on event completion and write structured outputs to client systems, replacing chat-only deliverables with end-to-end automation. - Survived three runtime migrations over 18 months with zero downtime. ▣ 𝐌𝐲 𝐨𝐰𝐧 𝐀𝐈 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a 15K-subscriber Substack teaching AI agents and automation, scaled it to $40K ARR. 4x'd revenue in the last two months. Write the builds, ship the skill files, and teach the same production patterns I run for clients. ▣ 𝐌𝐲 𝐨𝐰𝐧 𝐚𝐠𝐞𝐧𝐭 𝐢𝐧𝐟𝐫𝐚 Run Hermes, my custom agent framework, on a local Mac Mini, plus OpenClaw on AWS, always-on agents that run without me babysitting them. Built an off-grid fallback on a local Gemma model, so the stack keeps running with no internet and no external API. These are the same patterns I ship to clients, tested on my own infra first. 𝐒𝐭𝐚𝐜𝐤: Claude Code, Claude Skills, MCP, Vertex AI (Gemini 3 Pro), OpenAI Agents SDK (GPT-5.2), n8n, Vercel, React, Python, Custom GPTs. 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤? Async-first. Weekly sync if useful, no daily standups. I document everything in Notion / CLAUDE.md so the system survives without me. I'm selective about projects, I take the ones where production AI can change throughput, not just add features. If you're building an AI system that needs to actually run in production, let's talk.
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