Computer Vision Engineer Job Description Template

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Computer Vision Engineer Job Description Template

Computer vision engineers play a critical role in advancing technologies that analyze and interpret visual data. By combining expertise in machine learning, artificial intelligence, and image processing, these professionals develop innovative solutions across industries such as healthcare, autonomous vehicles, and robotics. A computer vision engineer focuses on developing algorithms, implementing cutting-edge technologies, and solving real-world problems using tools like TensorFlow, PyTorch, and OpenCV.

These engineers are instrumental in creating computer vision systems that enhance user experiences and drive business growth. They work on projects involving object detection, segmentation, and image recognition, ensuring high accuracy and efficiency. With their ability to tackle complex problems, optimize frameworks, and adapt to advancements in technology, computer vision engineers contribute to the development of autonomous vehicles, augmented reality applications, and smart robotics.

This template offers a detailed job description designed to help businesses seeking a computer vision engineer find top-tier talent. Whether you're in software development, augmented reality, or self-driving car projects, this guide will help you attract and hire the right candidate using Upwork’s global pool of experts.

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Job Overview

A computer vision engineer specializes in developing and optimizing systems that process, analyze, and understand visual data. Collaborating with cross-functional teams, these professionals build advanced models for object detection, image recognition, and segmentation. The role requires strong problem-solving skills, proficiency in programming languages like Python and Java, and expertise in deep learning frameworks. Ideal candidates thrive in tackling complex problems and decision-making, ensuring solutions align with organizational goals.

In addition to technical expertise, computer vision engineers contribute to the design and implementation of innovative applications in industries like healthcare, autonomous vehicles, and augmented reality. They are adept at leveraging large datasets, debugging models, and refining computer vision algorithms to achieve high performance. Collaboration with data scientists, software engineers, and stakeholders ensures the delivery of cutting-edge technologies that meet both technical and business objectives.

Key Responsibilities

Developing computer vision models. Build and train deep learning models for image processing and object detection using TensorFlow and PyTorch.
Implementing computer vision algorithms. Design and optimize algorithms for real-time applications such as autonomous vehicles and augmented reality systems.
Collaborating with teams. Work with data scientists, software engineers, and project managers to develop computer vision systems.
Analyzing datasets. Handle large datasets and preprocess visual information to improve machine learning models.
Debugging and troubleshooting. Address software development challenges to ensure computer vision applications meet performance standards.
Exploring advancements. Stay informed about advanced computer vision techniques, frameworks, and computer vision libraries to incorporate into projects.
Optimizing architectures. Enhance algorithm performance through optimization techniques and framework improvements.
Ensuring scalability. Develop solutions that scale across diverse platforms, including real-world and real-time environments.

Qualifications and Skills

Education. Bachelor’s degree in computer science, electrical engineering, or a related field; a master’s degree is preferred.
Experience. Proven work in computer vision projects and image processing techniques with a focus on large datasets.
Technical skills. Proficiency in Python, Java, and deep learning frameworks like TensorFlow and PyTorch.
Problem-solving skills. Ability to address complex problems and implement innovative solutions in computer vision applications.
Communication skills. Strong ability to collaborate with team members and articulate ideas to stakeholders.
Knowledge. Deep understanding of computer vision algorithms, neural networks, and linear algebra fundamentals.

About Our Company

[Company name] is dedicated to pushing the boundaries of computer vision technology to solve real-world problems. With a focus on innovation and collaboration, we work across industries to deliver advanced computer vision solutions. From autonomous vehicles and robotics to healthcare and augmented reality, our projects tackle complex challenges with the potential to make a lasting impact.

Our team combines expertise in machine learning, deep learning frameworks, and algorithm development to create solutions that redefine what’s possible in the field of computer vision. Join our forward-thinking environment, where team members collaborate on cutting-edge projects and leverage the latest technologies to shape the future of artificial intelligence and visual data processing.

What does a computer vision engineer do?

A computer vision engineer focuses on creating systems that interpret visual information through machine learning models and image processing techniques. They develop algorithms and leverage tools like OpenCV, TensorFlow, and PyTorch to build computer vision systems for applications such as autonomous vehicles, augmented reality, and healthcare. These professionals also work on solving real-world problems by combining artificial intelligence, data science, and advanced computer vision frameworks.

Designs and implements algorithms. Create and deploy deep learning models for tasks such as segmentation, object detection, and image recognition, ensuring scalability and accuracy for various applications.
Collaborates across teams. Work closely with cross-functional teams, including software engineers, data scientists, and project managers, to integrate computer vision applications into broader systems and ensure seamless functionality.
Optimizes performance. Enhance the efficiency of computer vision algorithms, focusing on real-time processing, system optimization, and the ability to handle large datasets effectively.
Explores advancements. Stay updated on the latest developments in computer vision techniques, including emerging deep learning frameworks, new algorithms, and advancements in image processing to maintain innovative solutions.
Implements computer vision systems. Develop and test computer vision systems that analyze visual data, enabling real-time decision-making in applications such as self-driving cars and robotics.
Conducts debugging and troubleshooting. Identify and resolve technical challenges in computer vision projects, ensuring that algorithms and frameworks perform reliably under various conditions.
Contributes to research and development. Experiment with cutting-edge technologies, including neural networks, object detection systems, and segmentation techniques, to create innovative solutions for the field of computer vision.
Applies domain knowledge. Utilize expertise in programming languages like Python, Java, and C++, as well as mathematical fundamentals like linear algebra, to design accurate and efficient computer vision models.
Leverages computer vision libraries and tools. Utilize libraries such as OpenCV, TensorFlow, and Keras when building and implementing advanced computer vision systems.
Analyzes large datasets. Work with large datasets to train and validate models, ensuring accuracy in diverse real-world applications.

By blending technical expertise and a passion for problem-solving, computer vision engineers play a vital role in advancing artificial intelligence and creating innovative visual data solutions across industries.

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How to write a computer vision engineer job description

Start with a title. Clearly label the role as "Computer Vision Engineer" and include any specialties, such as machine learning or deep learning.
Write an overview. Provide a concise summary that highlights the role’s focus on algorithm development, cutting-edge projects, and industry applications.
List responsibilities. Wrote down key tasks in detail, such as designing computer vision systems, analyzing visual data, and collaborating with teams.
Specify qualifications. Include technical expertise in frameworks, programming languages, and problem-solving skills.
Describe the company. Showcase your organization’s commitment to innovative solutions and its focus on real-world impact.

FAQs about computer vision engineers

What is the typical computer vision engineer salary?

The average salary for a computer vision engineer varies by experience and location. Software developers, including computer vision engineers, earn a median annual salary of around $120,000, with top earners exceeding $175,000. On Upwork, computer vision engineers typically charge between $40 and $100 per hour, depending on expertise and project complexity.

What skills do computer vision engineers need?

Computer vision engineers need expertise in machine learning, deep learning frameworks like TensorFlow and PyTorch, and programming languages such as Python and Java. They must be proficient in image processing techniques, computer vision algorithms, and tools like OpenCV. Strong problem-solving skills, knowledge of mathematical fundamentals like linear algebra, and the ability to optimize computer vision models for real-time applications are also essential. Excellent communication skills and experience working with cross-functional teams are valuable assets in this role.

What industries are hiring computer vision engineers?

Computer vision engineers are in demand across diverse industries, including healthcare, autonomous vehicles, robotics, and augmented reality. Companies in e-commerce, manufacturing, and entertainment also rely on computer vision applications for image recognition, object detection, and visual data analysis. Startups and technology leaders developing innovative solutions in artificial intelligence focus on hiring computer vision professionals to advance their machine learning capabilities and stay competitive.

What tools do computer vision engineers use?

Computer vision engineers use tools like TensorFlow, PyTorch, and OpenCV to develop and optimize computer vision algorithms. Other popular tools include MATLAB, Keras, and libraries for image processing. They rely on data analysis tools, debugging software, and version control systems such as Git to streamline workflows. Familiarity with Google Colab, Jupyter Notebooks, and cloud platforms like AWS is also advantageous.

How do computer vision engineers stay updated on advancements?

To stay current in the field of computer vision, engineers follow the latest industry trends, attend conferences, and participate in online courses on platforms like LinkedIn Learning and Coursera. They explore new deep learning frameworks, research advancements in image processing techniques, and experiment with emerging computer vision algorithms. Collaboration with data scientists and AI professionals on cutting-edge projects also keeps their skills sharp.

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Computer Vision Engineers you can meet on Upwork

$55 hourly
Anna B.
- 4.7
- (5 jobs)
Tbilisi, TB
Computer Vision
FastAPI
Machine Learning
Deep Learning
OpenCV
Image Segmentation
Image Processing
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.
$5 hourly
Khayrul I.
- 5.0
- (2 jobs)
Dhaka, C
Computer Vision
Digital Marketing
Adobe Photoshop
Audio Transcription
Video Transcription
Video Annotation
Classification
Data Segmentation
Data Annotation
Machine Learning
Artificial Intelligence

Hello! 👋 I’m a Data Annotation Specialist with over 5 years of experience in providing high-quality, labeled datasets for AI & Machine Learning projects. I have worked with top platforms like CVAT, Labelbox, Roboflow, and SuperAnnotate, delivering precise annotations across various industries, including: 🚗 Autonomous Driving – Object detection, semantic segmentation, lane marking 🏥 Healthcare – Medical image labeling, disease detection datasets 🌾 Agriculture – Crop, pest, and plant disease annotation 🛍 E-commerce – Product tagging, categorization, and attribute labeling 🎥 Video Annotation – Tracking, activity recognition, and event labeling My Skills & Expertise: ✔ Image, Video, Text, & Audio Annotation ✔ Bounding Boxes, Polygon, Keypoint & Semantic Segmentation ✔ Quality Assurance (QA) of labeled data ✔ Annotation guideline creation & workflow optimization ✔ High accuracy with fast turnaround Why Work With Me? 💡 100% accuracy-focused annotations 💡 Proven experience with AI/ML dataset preparation 💡 Clear communication & timely delivery 💡 Ability to handle urgent, high-volume projects If you’re looking for reliable, detail-oriented data annotation support for your AI project, let’s connect and make your dataset project-ready!
$8 hourly
Precious E.
- 4.8
- (34 jobs)
Lagos, LA
Computer Vision
SQL
Audio Recording
Audio Transcription
Object Detection & Tracking
Text Classification
Data Annotation
Data Analysis
LabelMe
Image Annotation
Data Entry
Data Segmentation
Data Labeling
Sentiment Analysis
LLM Prompt
RLHF
Labelbox
Python
Roboflow
CVAT

I provide annotation services with precision and data consistency. Delivering labeled datasets at 98%+ accuracy. Data Annotation and AI Data Operations Specialist with over 6 years of experience supporting the development of machine learning, computer vision, speech recognition, and generative AI systems through high quality training data. Extensive experience in image, video, audio, and text annotation, including object detection, segmentation, classification, transcription, sentiment analysis, and data validation. Possesses foundational Python skills and an exceptional attention to detail, process improvement, team leadership, and the ability to translate complex project objectives into scalable annotation operations. Beyond data labeling, I help in the design of labeling workflows, guidelines, and in the setup of QA system, and coordinate annotation teams. I ensure accuracy and consistency of exported data being used for training machine learning and AI models. I specialise in 🔸Computer Vision: 1. Bounding boxes 2. Polygons 3. Semantic & instance segmentation 4. Keypoints 5. Object tracking 🔸Autonomous Vehicles: 1. Lane marking 2. Drivable areas 3. Traffic signs 4. LiDAR & video annotation 🔸Healthcare AI: 1. Medical image labeling 2. Structured text annotation 3. High-precision QA workflows 🔸E-commerce (SKU): 1. Product categorization 2. Attribute tagging 3. Catalog normalization 🔸LLM Alignment: 1. RLHF 2. RLAIF 🔸NLP 1. NER 2. Intent classification 3. Sentiment analysis 4. Document annotation 🔸Audio & Speech: 1. Transcription 2. ASR labeling 3. Speaker diarization 4. Sound event tagging Why work with me 1. Accuracy, Consistency and Commitment 2. Clear communication with engineers, PMs, and research teams 3. Deep understanding of how annotation quality impacts model performance 4. Proven ability to lead distributed teams and meet strict delivery timelines 5. Experience working with IP-sensitive and compliance-driven datasets I have successfully delivered projects ranging from small pilot datasets to large-scale annotation and data collection operations across computer vision, LLM, RLHF, multimodal, and audio AI systems. My experience extends beyond annotation to workflow design, guideline development, quality assurance, and team coordination, ensuring consistency, effective edge-case handling, and production-ready datasets. Clients value my ability to identify challenges early, optimize annotation strategies, reduce rework, and keep projects on schedule. Whether you need a hands-on data annotation specialist, an annotation lead, or a consultant who understands both the technical and operational aspects of AI training data, I am ready to add value from day one.

$55 hourly
Anna B.
- 4.7
- (5 jobs)
Tbilisi, TB
Computer Vision
FastAPI
Machine Learning
Deep Learning
OpenCV
Image Segmentation
Image Processing
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.
$5 hourly
Khayrul I.
- 5.0
- (2 jobs)
Dhaka, C
Computer Vision
Digital Marketing
Adobe Photoshop
Audio Transcription
Video Transcription
Video Annotation
Classification
Data Segmentation
Data Annotation
Machine Learning
Artificial Intelligence

Hello! 👋 I’m a Data Annotation Specialist with over 5 years of experience in providing high-quality, labeled datasets for AI & Machine Learning projects. I have worked with top platforms like CVAT, Labelbox, Roboflow, and SuperAnnotate, delivering precise annotations across various industries, including: 🚗 Autonomous Driving – Object detection, semantic segmentation, lane marking 🏥 Healthcare – Medical image labeling, disease detection datasets 🌾 Agriculture – Crop, pest, and plant disease annotation 🛍 E-commerce – Product tagging, categorization, and attribute labeling 🎥 Video Annotation – Tracking, activity recognition, and event labeling My Skills & Expertise: ✔ Image, Video, Text, & Audio Annotation ✔ Bounding Boxes, Polygon, Keypoint & Semantic Segmentation ✔ Quality Assurance (QA) of labeled data ✔ Annotation guideline creation & workflow optimization ✔ High accuracy with fast turnaround Why Work With Me? 💡 100% accuracy-focused annotations 💡 Proven experience with AI/ML dataset preparation 💡 Clear communication & timely delivery 💡 Ability to handle urgent, high-volume projects If you’re looking for reliable, detail-oriented data annotation support for your AI project, let’s connect and make your dataset project-ready!
$8 hourly
Precious E.
- 4.8
- (34 jobs)
Lagos, LA
Computer Vision
SQL
Audio Recording
Audio Transcription
Object Detection & Tracking
Text Classification
Data Annotation
Data Analysis
LabelMe
Image Annotation
Data Entry
Data Segmentation
Data Labeling
Sentiment Analysis
LLM Prompt
RLHF
Labelbox
Python
Roboflow
CVAT

I provide annotation services with precision and data consistency. Delivering labeled datasets at 98%+ accuracy. Data Annotation and AI Data Operations Specialist with over 6 years of experience supporting the development of machine learning, computer vision, speech recognition, and generative AI systems through high quality training data. Extensive experience in image, video, audio, and text annotation, including object detection, segmentation, classification, transcription, sentiment analysis, and data validation. Possesses foundational Python skills and an exceptional attention to detail, process improvement, team leadership, and the ability to translate complex project objectives into scalable annotation operations. Beyond data labeling, I help in the design of labeling workflows, guidelines, and in the setup of QA system, and coordinate annotation teams. I ensure accuracy and consistency of exported data being used for training machine learning and AI models. I specialise in 🔸Computer Vision: 1. Bounding boxes 2. Polygons 3. Semantic & instance segmentation 4. Keypoints 5. Object tracking 🔸Autonomous Vehicles: 1. Lane marking 2. Drivable areas 3. Traffic signs 4. LiDAR & video annotation 🔸Healthcare AI: 1. Medical image labeling 2. Structured text annotation 3. High-precision QA workflows 🔸E-commerce (SKU): 1. Product categorization 2. Attribute tagging 3. Catalog normalization 🔸LLM Alignment: 1. RLHF 2. RLAIF 🔸NLP 1. NER 2. Intent classification 3. Sentiment analysis 4. Document annotation 🔸Audio & Speech: 1. Transcription 2. ASR labeling 3. Speaker diarization 4. Sound event tagging Why work with me 1. Accuracy, Consistency and Commitment 2. Clear communication with engineers, PMs, and research teams 3. Deep understanding of how annotation quality impacts model performance 4. Proven ability to lead distributed teams and meet strict delivery timelines 5. Experience working with IP-sensitive and compliance-driven datasets I have successfully delivered projects ranging from small pilot datasets to large-scale annotation and data collection operations across computer vision, LLM, RLHF, multimodal, and audio AI systems. My experience extends beyond annotation to workflow design, guideline development, quality assurance, and team coordination, ensuring consistency, effective edge-case handling, and production-ready datasets. Clients value my ability to identify challenges early, optimize annotation strategies, reduce rework, and keep projects on schedule. Whether you need a hands-on data annotation specialist, an annotation lead, or a consultant who understands both the technical and operational aspects of AI training data, I am ready to add value from day one.
$20 hourly
Salman M.
- 4.9
- (7 jobs)
Lahore, PB
Computer Vision
API Development
OCR Software
Chatbot Development
Object Detection
PyTorch
AI Agent Development
AI Model Integration
Natural Language Processing
AI Chatbot
Generative AI Software
Deep Learning
Machine Learning
Generative AI
Artificial Intelligence
Image Processing
Python
Data Science
OpenCV
TensorFlow

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!
$50 hourly
Oleh V.
- 5.0
- (3 jobs)
Lviv, LVIV OBLAST
Computer Vision
MLOps
Data Engineering
AI Consulting
AI Chatbot
AI Bot
AI Agent Development
Data Analysis
Statistics
Machine Learning
Data Science
Supervised Learning
Unsupervised Learning
Natural Language Generation
Natural Language Processing
PyTorch
OpenCV
Keras
TensorFlow
Python

Motivated and ambitious AI Engineer with almost 8 years of valuable experience in researching and developing industrial projects. My expertise includes developing, evaluating, and debugging Machine Learning algorithms, Data Analysis, Data Engineering, AI Agentic Engineering, MLOps, DevOps AWS platform, Databricks. I have successfully completed numerous short-term and several large-scale projects from inception. I am eager to leverage my proficiency in mathematics, machine learning, and programming to assist you in solving problems. Specifically, I have expertise in AI Agentic development having skills and experience to deliver e2e solution, from getting data, research to developing, creating CI/CD and maintenance.
$35 hourly
Subtain M.
- 5.0
- (3 jobs)
Ede, GE
Computer Vision
Vector Database
Hugging Face
FastAPI
Django
ChatGPT
Data Science
PyTorch
Machine Learning
OpenCV
LangChain
Chatbot Development
LLM Prompt Engineering
AI Chatbot
AI Agent Development

$50k ROI | 6+ Years Experience | Delivered for USPS, Airbus, Saudi Post, and Defense Clients I help enterprises bridge the gap between "cool AI demos" and production-grade systems that scale. Whether it's deploying 200+ real-time cameras in industrial environments, fine-tuning LLMs for 23x faster inference, or architecting Agentic workflows with LangGraph, I deliver high-performance solutions that drive measurable business ROI. 🚀 Recent High-Impact Wins Industrial IoT & CV (Sigrow): Architected a real-time plant health monitoring system deploying 200+ multispectral/thermal cameras, ingesting 2.3M images/month with YOLO-based segmentation and visual-thermal data fusion. LLM Optimization (Rapidev): Fine-tuned LLaMA 3.2-8B (LoRA/QLoRA) for enterprise NLP, achieving 23x faster inference and automating internal workflows via LangGraph/ReAct agents (50% reduction in manual effort). High-Scale AI Pipelines: Built an inference engine handling 100K+ daily requests (OCR, Speech, Translation), resulting in $50,000 annual cost savings. Edge Performance: Optimized IoT camera management by migrating from Python/Raspberry Pi to GoLang/MIPS, reducing bandwidth and operational costs while increasing API response speeds by 5x. Defense & Satellite: Built satellite object detection (YOLT/Solaris) with 95% accuracy on small targets (<10px), reducing manual inspection time by 65%. 🧠 Core Expertise Agentic AI & GenAI: LangChain, LangGraph, OpenAI, DeepSeek, LLaMA 3.x. Expertise in ReAct agents and multi-agent orchestration. Computer Vision (Edge & Cloud): YOLO (v5-v11), DeepStream, TensorRT, Triton Inference Server, GStreamer, 3D CNNs. Backend & ML Infra: Python, GoLang (specialized in high-performance IoT/MIPS), FastAPI, Docker, MQTT, RTSP, AWS (SageMaker, Bedrock, EC2). Data Fusion: Integrating multispectral, thermal, and sensor data for actionable industrial insights. 🏆 Why Work With Me? ✅ Gold Medalist & Researcher: MS in Computational Science (NUST) and published author in Deep Learning. ✅ Open Source Contributor: Contributed to TensorRTX and YOLOv7-Pose; PyCon Speaker. ✅ Full-Stack Ownership: I don't just train models; I build the GoLang backends, the Dockerized microservices, and the CI/CD pipelines to keep them running. ✅ Business-First Mindset: I focus on KPIs—whether it's a 60% revenue increase for a Japanese casino or a $50k reduction in API costs. 💬 Ready to scale your AI product? Let’s discuss your architecture and how we can build a scalable, production-ready solution together.
$35 hourly
Yuan T.
- 5.0
- (11 jobs)
Delft, SOUTH HOLLAND
Computer Vision
Adobe Photoshop
Blender
3D Printer
Freecad
Autodesk Fusion 360
English
Mathematics
Dutch
Technical Translation
Dutch to English Translation
Editing & Proofreading
English to Dutch Translation
Python
MATLAB

I have a Bachelor degree in Applied Physics and a Master degree in Biomedical Engineering. I've got 5+ years experience writing papers in English and Dutch. I'm well trained when it comes to technical academia. I've tutored high school and university students in math, physics and English. I daresay I'm equal to most math problems. I can code in Python and know my way around Matlab and Excel. I made my own bookkeeping software (no UI) and for my Master I programmed a SIFT computer vision algorithm. I have 2 years R&D experience in the medical device field, focusing on CAD design & modelling. Though I'm not very good at making "artsy" models, I can make and animate (Blender or Fusion) technical models. I'm interested in writing and am currently writing and editing my own fantasy book. I enjoy reading and writing fantasy fiction, solving sudoku's and riddles. In terms of sports, I'm a Spikeball trainer and player and I do fitness.
$35 hourly
Kamaljeet S.
- 4.9
- (48 jobs)
Ambala, HARYANA
Computer Vision
LLM Prompt Engineering
AI Agent Development
AI Development
AI Platform
iOS
3D Modeling
OpenCV
Lidar
Floor Plan
Machine Learning
Artificial Intelligence
Augmented Reality
Swift
ARKit

👋 Hey, I'm a Senior iOS Developer with over 8 years of diverse software development experience in tech. From developing to leading, I have done it all! I am proficient in creating apps for iOS and well-versed in developing frontends and backends. Beyond iOS, I led teams in various tech companies. My expertise spans numerous industries, and I've partnered with remarkable companies from all around the globe. I know a vast array of technologies and tools that I have used to create some pretty amazing applications! My Services: 🤖 AI integration (Artificial Intelligence) | OpenAI ChatGPT, DeepSeek, Microsoft AzureAI, Google Cloud, OpenCV, Creating AI Agents and AI-powered Apps 🕶️ AR/VR integration | Lidar, RoomPlan(Floor Plan), ARKit(Augmented Reality), Vision Framework 📲 VoIP integration | LinPhone, Microsoft Azure, Agora, WebRTC 🧠 Tech Advisor 🌐 Backend Development Firebase 🌐ML (Machine Learning) Who I work with: 🚀 Startups – take your idea through the startup lifecycle within a reasonable budget and timeline. 🙋 Small and Medium Businesses – acquire software excellence to boost your current product. Results: ✅ Developed apps with over 200,000+ monthly active users. ✅ A startup gained early adopters for their MVP using TestFlight ✅ A product company increased its user base by 40% by scaling its app onto a new platform. ✅ A services company grew its profits by 60%, thanks to an iOS streaming app. Working with me, you will get: 🕵️ Transparent process with various tracking tools and regular meetings. 💬 Prompt responses and concise explanations. 🧠 Expert consulting and tailored advice based on your specific needs. 🔄 Smooth integration with existing workflows and effective collaboration with your team. 🌍 Flexibility to work with clients across different time zones. 📚 Thorough documentation and dedicated support throughout the transition period. A very important message to any customer who could be working with me: “I take your project as my project” so I always will be 100% dedicated to successful project completion. ►► 𝐇𝐀𝐕𝐄 𝐐𝐔𝐄𝐒𝐓𝐈𝐎𝐍𝐒? 𝐈𝐍𝐕𝐈𝐓𝐄 𝐌𝐄 𝐀𝐍𝐃 𝐀𝐒𝐊!◄◄
$120 hourly
Dallin M.
- 5.0
- (47 jobs)
North Salt Lake, UT
Computer Vision
AI App Development
Artificial Intelligence
Amazon Web Services
Data Mining
Exploratory Data Analysis
Predictive Analytics
Data Analysis
Text Analytics
Statistical Analysis
Data Cleaning
Python
Machine Learning
Data Science
Data Science Consultation

I am a AI specialist and a problem-solver. I am expert in using Python to develop effective machine learning models. I have experience with AWS and Tensorflow and have built applications, models, and solutions for a variety of companies. I have developed cutting edge, custom machine learning models and successfully integrated them within existing structures. My goal is to revolutionize your business. I believe that machine learning and AI is the path forward, and I can help you obtain value from the data you collect. If you want to innovation and creativity in your business, reach out to me.
$85 hourly
Eben O.
- 4.9
- (56 jobs)
North Haven, CT
Computer Vision
Electronic Design
Hardware Prototyping
Electrical Engineering
Hardware Design
Microcontroller Design
KiCad
Analog Electronics
PCB Design
Circuit Design
Digital Electronics
Embedded System
Deep Learning
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
Computer Vision
Content Writing
Data Analysis
Article Writing
Artificial Intelligence
TensorFlow
Python
Natural Language Processing
pandas
Data Science
Deep Learning
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.
$42 hourly
Antonis S.
- 5.0
- (4 jobs)
Athens, ATTICA
Computer Vision
Data Mining
GitHub
CI/CD
Mathematics
Exploratory Data Analysis
Dashboard
Python
TensorFlow
Data Science
Deep Learning
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
Computer Vision
Linux
PyQt
Microsoft Windows
Raspberry Pi
Artificial Intelligence
Deep Learning
OpenCV
Natural Language Processing
Python
Machine Learning Model
Machine Learning
Neural Network
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
$50 hourly
Rushil B.
- 4.8
- (31 jobs)
Ahmedabad, GUJARAT
Computer Vision
Azure DevOps
React
ASP.NET Web API
React Native
ASP.NET Core
Angular 6
Entity Framework
LINQ
C#
MongoDB
jQuery
AWS Lambda
Natural Language Processing
Angular
SQL
Microsoft Azure
.NET Core
Retrieval Augmented Generation
Keras
OpenCV
TensorFlow
PyTorch
Large Language Model
AI Chatbot
Machine Learning
Artificial Intelligence

Microsoft Certified Professional having 10 years of proven hands on experience in full stack developmnet. ✅ Attention to smallest of details ✅ Problem solving attitude ✅ Good design patterns and best practices follower ✅ Excellent communication skills ✅ Reliable and quick turnaround time 📌 SKILLS ✔ ASP.NET Core, ASP.NET MVC, ASP.NET Web Forms, Web API, Blazor ✔ C#, VB.NET ✔ React.js, Node.js, Next.js, Redux, Angular, JavaScript, TypeScript, jQuery, Vue.js, ExtJS, Knockout.js ✔ AI/ML, Prompt Engineering (OpenAI - ChatGPT, Bard, GPT4), LLMs, STT/TTS, NLP, Computer Vision, Langchain ✔ Python (Django, Flask, DRF, FastAPI), PyTorch, TensorFlow, OpenCV, Keras, RAG ✔ Entity Framework, EF Core, Dapper, LINQ ✔ NopCommerce, Umbraco ✔ MS Dynamics CRM, Salesforce ✔ MS SQL Server, MySQL, MongoDB, Azure CosmosDB, SSIS, SSRS, SSAS ✔ Azure, Azure DevOps, CI/CD, AWS, Elastic Search ✔ HTML, CSS, Bootstrap, Responsive Web Design ✔ Automation test cases using Selenium, Cypress, Cucumber and Playwright ✔ Xamarin, Apache Cordova (Phonegap), Ionic, React Native mobile application ✔ Telerik Kendo, DevExpress/ DevExtreme, jQuery Datatable ✔ Third party API integrations like Google API, Social Media API, DocuSign, Payment Gateway ✔ Phone Call and SMS API, Twilio, SendGrid ✔ Git, BitBucket, JIRA, TFS, SVN, VSS I also have good experience working with mobile application development for iOS and Android. I am well aware of end-to-end process starting from development of mobile application to submission of final application to App Store/ Play Store. My core competency lies in complete end-to-end development and maintenance of small and large scale software development projects. I have good experience working with enterprise level n-tier, multi-tenant applications. I believe in long term business relationship that built on the basis of quality services. Thank you for taking the time to review my profile.
$40 hourly
Muhammad A.
- 4.8
- (190 jobs)
Islamabad, ISLĀMĀBĀD
Computer Vision
AI Implementation
AI Development
Data Analysis
LangChain
TensorFlow
PyTorch
Deep Learning
Data Science
AI Bot
Chatbot Development
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.
$60 hourly
Gilberto G.
- 5.0
- (90 jobs)
Merida, MERIDA
Computer Vision
MATLAB Script
Python Script
Predictive Analytics
Genetic Algorithm
Algorithm Development
Digital Signal Processing
Image Processing
Electrical Engineering
Data Science
Machine Learning
Model Optimization
NumPy
Python
MATLAB

I am BS in Electrical Engineering graduated with honors. During my university career I specialized in the design and development of several tools for data processing, feature & pattern extraction, time-frequency analysis, signal convolution (see my portfolio), image classification, linear & nonlinear filtering of time sequences (1D), images (2D), hyper & multi spectral images (3D) as well as the implementation of genetic algorithms for the optimization of Objective Functions subject to linear and nonlinear constraints. In my degree project I implemented a land cover classifier for satellite images (hyper spectrals) using Sparse Signal Representation as an artificial intelligence method positioned in the state-of-the-art (see my portfolio). I currently have more than 3 years of experience in applications that enable extreme performance & accuracy improvements in Machine Learning and in the powerful field of Data Science. In particular, I have heavy expertise implementing models based on classical techniques such as: Binomial and Generalized Logistic Regression, Robust Regression, Neural Networks, Vector Support Machines, K-Nearest Neighbor as well as innovative techniques positioned in the state-of-the-art as Sparse Signal Representation, all of them in applications of Image classification, Denoising, Super Resolution, among others. I have heavy skills in Python and MATLAB (with experience in R as well) so I have used these powerful programming languages for the quickly, reliable and efficient development of my projects. I also carried out 3 masters courses in Biomedical Engineering of Mathematical Methods and Statistics applied to the Engineering, with which I have solid bases to analyze and infer well on the results obtained. Feel free to get in touch with me if you need to solve any problem related to: - Machine learning - Data science - Genetic Algorithms - Signal & Image Processing - Biomedical Image processing
$40 hourly
Shubham C.
- 5.0
- (5 jobs)
Toronto, ON
Computer Vision
Natural Language Processing
HubSpot
Retrieval Augmented Generation
Zapier
n8n
Data Analysis
JavaScript
Python
Django
MERN Stack
Machine Learning
LLM Prompt Engineering
Automated Workflow
AI Agent Development

I’m a Senior AI Automation Specialist, n8n Automation and Workflows Expert, and experienced Full-stack AI Developer. I help businesses streamline and scale operations by implementing intelligent AI automation systems, advanced AI agents, custom workflows, and voice-powered assistants. My expertise includes designing and deploying custom agentic workflows, RAG-powered knowledge bases, and multi-channel customer support solutions that integrate seamlessly with CRMs. I create tailored AI automation strategies that eliminate manual tasks, improve efficiency, and deliver accurate, instant 24/7 responses through both chatbots and voice agents. ⚡ Core Specializations: 1. n8n Workflow Automation & Advanced API Integrations 2. AI Agent Development (Chatbots, Voice AI, Sales Agents) 3. RAG System Development – Knowledge Base Automation with n8n 4. Customer Support Automation (Multi-channel: WhatsApp, Telegram, Email, Chatbot) 5. Voice AI Agent Setup (Vapi, Retell, ElevenLabs, Twilio) 6. Business Process Automation & Seamless CRM Integrations 7. Multi-Platform Automation (n8n, Make.com, Zapier) 8. AI-Powered Lead Generation & Sales Automation 9. Web Automation & Data Scraping Solutions 10. Marketing Automation to cut manual effort & save time 11. Content Creation Automation (Social Media Posts, Blogs, Images, Videos) 🎯 What I Deliver: ✅ Custom n8n Workflows for lead generation, email automation, and data synchronization ✅ AI Voice Agents for customer service, appointment booking, and sales calls ✅ RAG-Powered AI Systems that provide accurate answers from any content type (PDFs, websites, databases) ✅ Multi-Channel Customer Support Automation handling queries across all platforms ✅ AI Knowledge Base Integration with real-time content updates and learning ✅ Automated Social Media Posting with AI content generation ✅ Automated Image and Video Generation using n8n workflow ✅ CRM Integration & Automation (HubSpot, Pipedrive, GoHighLevel) ✅ AI Chatbot Development with intelligent query routing and escalation ✅ API Integrations connecting 100+ business tools and platforms ✅ WhatsApp & Telegram Automation for customer engagement 💼 Industries I Serve: Real Estate, E-commerce, SaaS, Marketing Agencies, Healthcare, Travel, Solar, Automotive 🔧 Technology Stack: n8n, Make.com, Zapier, OpenAI API, RAG Implementation, Vector Databases, Vapi, Retell AI, ElevenLabs, Twilio, Airtable, WordPress, Google Sheets, Callrails, Notion, Slack integration, Python, JavaScript, API Integration, ChatGPT, Gemini, Claude.ai, Docker, AWS, React, and Ruby on Rails 📈 Recent Project Examples: 1. Built RAG-powered customer support system with a 95% accuracy rate using n8n, Elevenlabs voice agent, and Google Script 2. Built an AI voice appointment agent handling 500+ calls/month 3. Created an automated lead qualification system, reducing manual work by 80% 4. Developed an AI-powered content creation workflow for social media 5. Implemented GoHighLevel CRM integration with the ElevenLabs voice agent to capture leads 6. Built an n8n workflow to write a WordPress blog post with internal and external linking 7. Developed an AI-powered workflow that transforms raw product images into professional advertising images and video content using the ChatGPT API Let's discuss how I can build an AI automation/workflow system tailored to your specific business needs. 🚀 Available for: Long-term automation projects, AI agent or voice agent development, RAG system implementation, customer support automation, n8n automation/workflow consulting, and ongoing workflow optimization.
$55 hourly
Andrii P.
- 5.0
- (36 jobs)
Zaporizhzhia, ZAPORIZKA OBLAST
Computer Vision
.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
Deep Learning
OpenCV
Data Science
Machine Learning

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
$250 hourly
Jordan T.
- 5.0
- (5 jobs)
Bel Air, MD
Computer Vision
Artificial Intelligence
Deep Learning
Keras
Natural Language Processing
TensorFlow
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
Computer Vision
Generative AI
Retrieval Augmented Generation
API Development
Software Development
API
FastAPI
GPT-3
ChatGPT
Python
Machine Learning
Deep Learning
Chatbot
Keras
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.
$50 hourly
Andrea M.
- 5.0
- (5 jobs)
Perignano, TUSCANY
Computer Vision
Microsoft Excel
Software Development
Visual Basic for Applications
Desktop Application
C#

15+ years of experience in the development of machine vision systems for industry (automotive, glass, pharmaceutical, packaging, food). Skills: 1. algorithm development and mathematical modeling 2. MVTec Halcon 3. OpenCV 4. C#/VB.net
$80 hourly
Nicholas S.
- 5.0
- (9 jobs)
Timnath, CO
Computer Vision
Vector Database
Predictive Modeling
LangChain
Data Visualization
Automation
ChatGPT
Data Analytics
AI Agent Development
Large Language Model
API
Web Scraping
Google Cloud Platform
Web Design
API Development
SQL
Machine Learning
Python
Natural Language Processing

Most data just sits there doing nothing. I make it work. I'm a Senior AI/ML engineer and data scientist with 10+ years designing intelligent, end-to-end solutions that save clients time, reduce errors, and uncover insights they didn't know they were sitting on. I bridge the gap between raw data and real results — combining advanced analytics with powerful automation to build systems that don't just work once in a notebook, but run quietly every day and earn their keep. I've shipped machine learning models, analytics workflows, and large-scale data pipelines for names like Dr Pepper, Mitel, and Sub-Zero Wolf, plus independent clients across real estate, marketing, and operations. Hand me a vague problem and a pile of messy data — that's exactly where I do my best work. I bring speed, precision, and adaptability to every project. What I bring to your project: • Machine Learning & AI — Predictive modeling, classification, forecasting, customer segmentation, image classification, and decision-support systems using scikit-learn, TensorFlow, and PyTorch. Comfortable across the full ML lifecycle: framing, feature engineering, training, evaluation, and deployment. • Agentic AI & LLM Systems — Autonomous AI agents and multi-agent workflows that plan, reason, and take action end-to-end. Building with LangChain, LangGraph, and the OpenAI/Anthropic APIs, plus RAG pipelines, vector databases (Pinecone, Chroma), tool/function calling, and MCP integrations that connect LLMs directly to your data and systems. • Data Science & Analytics — Statistical analysis, time-series forecasting, A/B testing, exploratory data analysis, and KPI tracking that translate numbers into clear, actionable insight. • Automation & Workflow — n8n, Make, ElevenLabs, Retell.ai, Custom Python tools, browser automation, API integrations, and Docker-based pipelines that eliminate repetitive manual work and run hands-free. • Web Scraping & Data Collection — Large-scale, structured extraction from public directories, social platforms, e-commerce catalogs, and APIs (Selenium, BeautifulSoup, Scrapy). • Data Engineering & Pipelines — Cleaning, validation, deduplication, and transformation into analysis-ready datasets; end-to-end ETL/ELT orchestration with Airflow. • Visualization & Reporting — Decision-ready dashboards and reports in Tableau, Power BI, and Python (Matplotlib, Plotly), Looker studio. • Enterprise Platform — Microsoft Copilot Studio, Salesforce, Google Vertex AI, AWS Bedrock, Azure AI, UiPath Select results: • Automated a real estate firm's invoice processing, cutting a 4-person workload by ~90%. • Built an image analytics pipeline for a major beverage brand to identify the content elements that drive engagement. • Scraped and structured 500k+ Instagram images for model training and analysis. • Delivered high-value datasets powering corporate marketing, sales targeting, and geographic analysis. Technical toolkit: • Languages: Python, SQL, Bash, R • AI/ML: scikit-learn, TensorFlow, PyTorch, Keras, computer vision, NLP fundamentals • Data Science: pandas, NumPy, statistical modeling, forecasting, A/B testing, feature engineering • Automation & Scraping: Selenium, BeautifulSoup, Scrapy, API integrations, RPA-style workflows • Data Engineering: Apache Airflow, ETL/ELT, SQLAlchemy, PostgreSQL, SQLite • Backend: Flask, REST APIs • DevOps & Tools: Docker, Git, Jupyter, Postman, Linux, pytest • Visualization: Tableau, Power BI, Matplotlib, Plotly, Looker Studio Let's build something that works smarter, faster, and delivers results you can measure. Tell me what you're trying to accomplish, and I'll show you exactly how I'd approach it.
$45 hourly
Zubair S.
- 5.0
- (1 job)
Islamabad, ISLĀMĀBĀD
Computer Vision
Data Analytics
Tableau
Retrieval Augmented Generation
Apache Airflow
Machine Learning
Snowflake
Cloudera
Deep Learning
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.
$126 hourly
Kunjan V.
- 5.0
- (49 jobs)
Karlsruhe, BW
Computer Vision
AI Agent Development
Data Engineering
Large Language Model
Retrieval Augmented Generation
TensorFlow
PyTorch
Data Science
Natural Language Processing
Python
Artificial Intelligence
Deep Learning
Machine Learning

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation
$80 hourly
Zakhar P.
- 4.6
- (39 jobs)
Yerevan, ER
Computer Vision
C++
Robotics
PostgreSQL
FastAPI
Back-End Development
Security Testing
SaaS Development
Deep Learning
AI Consulting
API Integration
AI Agent Development
TypeScript
Retrieval Augmented Generation
OpenAI API
AI App Development
OCR Algorithm
PyTorch
Machine Learning
Python

7+ years building production computer-vision, OCR, edge-AI, and AI backend systems where accuracy, latency, and reliability matter. Typical work includes defect detection, live video/object tracking, on-device model optimization, document/OCR pipelines, OpenAI/RAG integrations, and launch rescue for AI products that need evaluation, observability, and clean API architecture. My strongest fit is a project with real data, a broken or uncertain pipeline, and measurable acceptance targets: accuracy, false positives, latency, edge-device constraints, cost, security, or launch readiness. Core work: - Computer vision / OCR: detection, segmentation, tracking, image analysis, OCR extraction, validation, reviewer workflows - Edge AI: ONNX/TensorRT conversion, model optimization, quantization-aware deployment, mobile/on-device inference - AI backend: OpenAI API, RAG, VLMs, source traces, confidence checks, FastAPI, PostgreSQL - Production delivery: tests, logging, monitoring, cloud deployment, handoff docs I am a good fit when AI output must be accurate, fast enough for production, reviewable, logged, and reliable enough for real business use.
$50 hourly
Muhammad Imran Z.
- 4.7
- (85 jobs)
Thornton Heath, ENGLAND
Computer Vision
SQL
Flask
Image Processing
Time Series Analysis
Data Science
Deep Learning
Machine Learning
Keras
Machine Learning Model
Natural Language Processing
TensorFlow
Python
Python Scikit-Learn
Deep Neural Network

I'm a lead Machine Learning Engineer with 8+ years of experience delivering AI/ML solutions from concept to large-scale, secure and scalable deployment. Experienced in full project lifecycle management and expert in Terraform, Docker, Jenkins and Kubernetes with a strong track record in building automated CI/CD pipelines, containerized microservices and cloud-native ML systems. Kaggle Grandmaster, published researcher and trusted expert in GenAI and LLMs. Technical Skills - Programming languages: Python, SQL, Shell Scripting, Java (intermediate), JavaScript (intermediate in Node.js, Next.js) - Frameworks and Libraries: PyTorch, TensorFlow, Transformers, LangChain, NLTK, OpenCV - GenAI and LLM Tools: Prompt Engineering, RAG, GGUF, MCP, Agentic AI, Quantization and Fine-tuning - DevOps and Cloud: Git, Docker, Jenkins, Kubernetes, Terraform, AWS, Azure, GCP, Kafka, Grafana, RESTful APIs, AWS CDK I bring solid, proven expertise backed by real world outcomes. I specialize in designing scalable, production ready pipelines using LLMs, RAG, semantic search, MCP servers, Multi-Agent system and cloud-based DevOps systems. I have delivered solutions that directly impacted business growth, performance and efficiency. What I bring to the table: - Real experience building production level AI systems , not just prototypes - Focus on business value, efficiency, scalability and impact - A grounded, no-fluff approach with clean code and solid delivery - Leadership of cross functional ML teams, client success stories and long term results Why Choose Me? - Passionate and always try robust stratgies - Hands on deployment experiance of AI pipelines - Proven business impact (revenue, performance, scalability) - Communication & team collaboration - Post project support and clean, documented code - Your data, models and ideas are treated with strict confidentiality
$80 hourly
Archana G.
- 5.0
- (11 jobs)
Milpitas, CA
Computer Vision
Data Visualization
Artificial Intelligence
Data Analysis
Big Data
Microsoft Excel
SQL
Machine Learning
Keras
TensorFlow
Data Science
Tableau
Python
Convolutional Neural Network
Deep Neural Network

Hello, I am a data scientist with 5+ years of experience in data science field. I specialize in all facets of data science: data cleaning, data transformation, data visualization, data analysis, and data modeling using machine learning and deep learning algorithms. Do you have a project that requires data science expertise? Don't hesitate to get in touch with me. I would love to answer your questions or requests. I can help with one-time projects or long-time projects. Work Experience Data Scientist –– Wonder Chrome (December 2021 - PRESENT) Actively engaged in data collection, data cleaning, feature engineering, developing models, validation, dashboard and report generation. ● Maintained and developed complex SQL queries, stored procedures, views, functions, and reports that meet customer requirements using Redshift, Sagemaker, SQL, and Python. ● Developed predictive models, classification model and time series forecasting models using various machine learning tools ● Developed Large-scale multi-label text classification model using Tensorflow and Keras Artificial Intelligence Engineer Intern –– Uniquify Inc (August 2021 - October 2021 ) ● Tensorflow and neural network training ● Debugging the framework for automating neural network and tensorflow scripts ● Running experiments with the tensorflow scripts produced by the framework ● Manipulating data and neural network structure and specs to optimize accuracy in the neural networks ● Analyze the results from training the neural network models to better understand and improve the models and frameworks ● developing image processing and image segmentation algorithms Data Analyst –– Centriqe Inc (February 2020 - January 2021) ● Provide insights and proposals to support business improvement using analytical and technical expertise ● Build predictive models and forecasting models using various machine learning tools ● Actively engaged in the quantitative analysis of sophisticated models to address business issues ● Identify the trends and key metrics and generate dashboards using various data visualization tools. Technical Skills Languages : Python, R Deep learning and AI: TensorFlow, Keras, CNN, RNN, Machine Learning and Data Mining : Bayesian classifiers, Linear classifiers and regression, KNN, Decision trees, Ensemble learning, k-means clustering, Neural networks,Performance evaluation Hyperparameter tuning, Natural Language Processing, Transfer learning Data Analysis : Data manipulation techniques, Plotting and visualisation, Exploratory data analysis, Estimation techniques, Regression model, Classification model Tools : AWS, SQL, OpenCV, Sklearn, YOLO,VGG16, ResNet, Pandas, Numpy, Matplotlib, Tableau, Dash, Plotly, Excel, Elasticsearch, Logstash, Kibana, Spacy, Matlibplot, Seaborn, Tableau, BeautifulSoup, MongoDB, PySpark, Retool,Google sheet, Streamlit
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