Principal AI Engineer & Founder of PrismBase.ai | Senior Data Scientist with 9+ years of experience architecting production-grade analytics platforms and 6+ years deploying enterprise machine learning and agentic AI systems on Google Cloud Platform (GCP). I specialize in LangChain, LangGraph, multi-agent orchestrations, RAG pipelines, and robust FastAPI backends that translate complex AI into measurable business impact. 🤖 Agentic AI & LLM Engineering Autonomous Workflows: Design and deploy multi-agent systems using LangChain and LangGraph for high-stakes enterprise use cases (underwriting, fraud detection, document intelligence). Production RAG: Build advanced Retrieval-Augmented Generation systems scaling across millions of documents. Integrations: Connect agentic workflows seamlessly into core communication stacks, including Slack, Telegram, and enterprise email environments. ☁️ End-to-End ML & MLOps on GCP Vertex AI Mastery: Build complete enterprise pipelines—from data preparation and training to evaluation, deployment, and continuous monitoring. Proven ROI: Led predictive modeling for fraud detection (30% accuracy improvement), student retention, and predictive maintenance (80% reduction in operational events) across 20TB+ datasets. Cost Optimization: Architected cloud infrastructure refinements that cut client cloud spend by 50%. ⚡ FastAPI & Production API Development Backend Architecture: Build high-performance, asynchronous RESTful APIs utilizing Pydantic validation, async job processing, and Docker containerization. System Integration: Deliver clean API layers engineered to power real-time dashboards, integrate with legacy CRMs, and serve production ML models at scale. 📊 Data Science & Technical Stack Core Competencies: Python, SQL, BigQuery, XGBoost, LightGBM, SHAP/LIME explainability, and advanced feature engineering. Enterprise Delivery: Trusted to deliver mission-critical solutions for Fortune 500 clients, including Morgan Stanley, Wells Fargo, US Bank, and Verizon. I bridge the gap between deep technical execution and executive-level strategy. I work at $80/hr and bring principal-level execution to every engagement. Let's hop on a call and talk about what you need built. Drake Talley Principal AI Engineer | PrismBase.ai

★ Top Rated Freelancer on Upwork ★ ⭐⭐⭐⭐⭐ Outstanding quality is expected ⭐⭐⭐⭐⭐ As a Test Prep Content Expert, I develop the high-quality, authentic assessment materials that educational companies need to create market-leading products. My core specialization is the SAT, where I focus on creating practice questions and full-length tests that are indistinguishable from the official exam. I go beyond simple subject matter knowledge. I deconstruct the precise logic, structure, and style of each question type to ensure every item I create is a valid and reliable measure of a student's ability. For the new Digital SAT, this means I possess a deep mastery of its module-adaptive format, the specific nuances of the shorter reading passages, and the strategic integration of the Desmos calculator in the Math section. My process involves not just writing a correct question, but engineering plausible distractors and writing clear, instructional rationales that teach students the "why" behind the right answer. While the SAT is my primary area of focus, my expertise in assessment design and psychometric principles allows me to effectively develop content for a range of other standardized tests, including the ACT and MCAT. Whether you need a full practice test built from the ground up, a critical review of your existing question bank, or a batch of new questions targeting specific skills, I deliver polished, reliable content ready for your platform. Let's connect to discuss how my expertise can elevate your content and help your students succeed.

Hi there! 👋 During last 7 years, I helped many researchers to conduct statistical analysis, find interesting insights and interpret them correctly, as well as carefully prepare their papers to the publication. Conducted analysis across various fields — medicine, psychology, economics, ecology, genetics. I can always clearly explain, what I am doing and why I think this is the way to do it. If you need actual results, accurate and useful — write me! 👉 Expert in statistics, research methodology, bioinformatics 👉 Skilled with R, Python, SQL, SPSS, Stata, Excel 👉 Deep understanding of regression, time-series, survival analysis 👉 Never missed a deadline

Data Scientist | ML Engineer | NLP & Predictive Modeling | Python | SQL I help teams make sense of messy data and turn it into working machine learning systems. My work spans the full lifecycle: exploratory analysis, feature engineering, modeling, evaluation, and deployment. I combine strong data science fundamentals with deep experience in NLP and applied ML. What I Do: - Exploratory Data Analysis (EDA) to understand patterns, risks, and modeling paths - Build classification, ranking, and regression models using Scikit-learn & PyTorch - NLP projects: text cleaning, vectorization, topic modeling, transformer-based classifiers - End-to-end ML pipelines: data prep → modeling → validation → reporting - Data workflows at scale with BigQuery, PySpark, and cloud-based ML tooling - Business-facing analytics, dashboards, and insights that support decision-making Toolkit: - Python (Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face) - SQL (BigQuery), PySpark - Visualization: Power BI, Plotly, Matplotlib - ML Ops & Infra: Vertex AI, Docker - Git/GitHub, Notion, n8n Selected Results: - Improved an enterprise classifier from **0.74 → 0.86 F1** across **90M+ documents** - Built LLM-assisted labeling workflows expanding datasets from **200 → 4,000+ samples** - Reduced NGO triage workload by **40%** using ML-based prioritization - Conducted deep EDA for multiple enterprise projects to inform modeling direction & risk What You Get Working With Me: - Clear, honest communication and fast iteration - Strong reasoning behind modeling decisions - Clean, maintainable code with documentation - A partner who understands both analysis and production-ready ML If you need someone who can explore your data, understand it, and turn it into a reliable ML solution — let’s talk.

Hi there! I'm Sayed, a passionate data scientist with a strong foundation in machine learning and artificial intelligence. I specialize in building end-to-end, data-driven solutions that are robust, scalable, and impactful. With extensive hands-on experience in developing and deploying AI-powered applications, I strive to solve complex problems and deliver actionable insights to drive business success. What I Bring to the Table Machine Learning Expertise: Proficient in training and fine-tuning advanced ML models, including traditional ML techniques with scikit-learn and deep learning architectures (TensorFlow, PyTorch). End-to-End Development: Skilled in deploying ML applications using FastAPI, (Streamlit or Gradio) and Docker, ensuring user-friendly interfaces and scalable solutions. Data Analysis & Visualization: Expert in extracting actionable insights using Python libraries such as Pandas, Matplotlib, and Seaborn. Problem-Solving: Proven ability to tackle data structures and algorithm challenges, with over 450 problems solved on platforms like LeetCode and Codeforces. Web Scraping: Proficient in scraping and collecting data using tools like Beautiful Soup and Scrapy for analysis and research. Highlighted Projects Microscopic Medical Parasitology Classification: Fine-tuned a ResNet101V2 model for accurate classification of parasite species. Deployed on Azure Web Services with an interactive user interface for seamless accessibility. Customer Churn Prediction System: Developed a predictive model using advanced ensemble methods (XGBoost, LightGBM) and integrated it with a Flask-based application for real-time user predictions. Containerized the solution for efficient deployment. Digit Recognition App: Created a TensorFlow-Keras-based application for digit recognition, featuring a Streamlit interface for an intuitive and interactive user experience. Tools & Technologies Programming Languages: Python, SQL, C++, MATLAB Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn Development & Deployment: Docker, Flask, Django, Streamlit Data Visualization: Matplotlib, Seaborn Version Control: Git, GitHub Education & Certifications Bachelor’s in Computer Engineering and Control Systems (2025) – Mansoura University (Excellent grade). Deep Learning Specialization – DeepLearning.AI Professional Generative AI Certification – Digital Egypt Pioneers Associate Data Scientist in Python – DataCamp Let’s Collaborate! Whether you need to build a machine learning model, analyze complex datasets, or deploy an AI-powered application, I’m here to help. Let’s transform your ideas into reality and create solutions that make an impact.

👋 Welcome to my profile! I'm deeply passionate about data and technology, which led me to pursue a career as a Data Scientist, AI, LLM, and Deep Learning Developer. Now that you're here, allow me to introduce myself fully. **Notable Projects** Real-time car detection using YOLO v6. Predictive anomaly detection with LSTM. Image classification using deep learning models. LLM implementation with the LLAMA model. **What I Can Do for You:** 🤖 Machine Learning: I can make it learn very well: ++Data visualization, Data Analysis using Python libraries like Matplotlib, Seaborn, and Pandas. ++Develop machine learning models (Regression, Classification) using algorithms such as KNN, LSTM, Random Forest, Decision Trees, Gradient Boosting, implemented in Python with libraries like Scikit-learn. ++Hyperparameter tuning using tools like GridSearchCV or RandomizedSearchCV from Scikit-learn. 🚀 Deep Learning: Let’s go deeper than ever: ++Images dataset preprocessing utilizing Python libraries like OpenCV and PIL. ++Dataset augmentation through image generation techniques like GAN (Generative Adversarial Networks), PROGAN, ADGAN implemented using TensorFlow or PyTorch. ++Develop deep learning models (CNN, RNN, Capsule Network, Graph Convolutional Network) implemented with TensorFlow or PyTorch. ++Hyperparameter tuning for deep learning models using techniques like grid search or Bayesian optimization, implemented in Python. 💬 LLM: Let’s make it Large as a LLM: ++Chatbot development based on ChatGPT or LLAMA using Python and libraries like Hugging Face's Transformers or OpenAI's GPT. ++LLM fine-tuning using Hugging Face's Transformers library or other transfer learning techniques. ++LLM deployment on web platforms or chat interfaces using frameworks like Flask or FastAPI. ++Webscraping using Python libraries like BeautifulSoup or Scrapy. 👁️ Computer Vision: Beyond the Normal vision: ++Features extraction and data analysis using Python libraries such as OpenCV and scikit-image. ++Develop models like CNN, RNN, ANN, Graph Attention Network for computer vision tasks using TensorFlow or PyTorch, Vision Transformers. 🛠️ Languages and Tools: ++Proficiency in Python for coding and scripting purposes. ++SQL for data querying and manipulation. ++Pandas and NumPy for data manipulation and numerical computing. ++TensorFlow and PyTorch for deep learning model development. ++Beautiful Soup for web scraping tasks. ++Matplotlib and Seaborn for data visualization. ++PyCharm or other IDEs for development. ++SciPy for scientific computing tasks. ++MATLAB for additional data analysis or modeling tasks. ****************************************MY Goal************************************************************* *My primary objective is ensuring client satisfaction by consistently delivering high-quality work tailored to your specific needs and expectations.

🔸 Certified AI/ML Engineer | AI Chatbot | NLP | RAG | LLM | Generative AI 🔸 AI Developer | Python | React.js | Node.js | AI Agent & Automation 🔸 Full-Stack AI Development | AI SaaS | AI App Development 🔸 30 DAYS SUPPORT I build production ready AI systems that help businesses scale faster, automate workflows, and make smarter decisions using Artificial Intelligence, Machine Learning, and Generative AI. My work is focused on LLM applications, AI agents, RAG systems, AI chatbots, and full-stack AI development, all built with Python, FastAPI, Django, React, and Node.js. ✅ AI & ML Services I Provide: 🔹 AI Agents & Multi Agent Systems I design and develop AI Agents, Agentic AI, and multi-agent workflows to automate business processes, handle complex tasks, and improve productivity. I use LLMs, ChatGPT, GPT-4, LangChain, AutoGen, LangGraph, and OpenAI API. 🔹 Generative AI & LLM Development I build Generative AI applications, custom LLM solutions, and AI SaaS products. This includes prompt engineering, LLM fine-tuning, and NLP to deliver accurate and context-aware AI responses. 🔹 RAG (Retrieval Augmented Generation) Systems I build RAG pipelines with vector databases like Pinecone and Weaviate to deliver real-time, knowledge-driven AI applications. This ensures AI responses are factual and aligned with your proprietary data. 🔹 AI Chatbot Development & Conversational AI I create AI chatbots, virtual assistants, and conversational AI systems for customer support, lead generation, and automation using OpenAI, ChatGPT, and NLP. 🔹 Machine Learning & Deep Learning I develop ML models, deep learning models, classification, regression, time-series forecasting, and recommendation systems using scikit-learn, TensorFlow, and PyTorch. 🔹 Computer Vision & OCR I build computer vision solutions, image processing, object detection, image classification, and OCR automation using OpenCV, TensorFlow, and PyTorch. 🔹 Full-Stack AI Development & Deployment I deliver full stack AI applications with FastAPI/Django backend, React/Next.js frontend, and deploy using Docker, Kubernetes, AWS, Azure, or GCP. I also provide API integration, workflow automation, and system integration. 🔧 Tech Stack & Expertise: Languages & Frameworks: Python, FastAPI, Django, Flask, React, Next.js, Node.js AI Tools & Frameworks: OpenAI API, ChatGPT API, LangChain, LlamaIndex, Hugging Face, AutoGen, LangGraph, Pinecone, Weaviate, Crew AI AI & ML Capabilities: LLM, GPT-4, Generative AI, AI Agents, RAG, NLP, AI Chatbots, Prompt Engineering, LLM Fine-Tuning, ML Pipelines, Computer Vision, OCR Automation & Deployment: Workflow Automation, API Integration, Docker, Kubernetes, AWS, Azure, GCP Core Specialties: AI SaaS, AI App Development, Production-ready AI systems, scalable AI solutions, secure AI applications ⭐ Why Clients Choose Me ✅ Deliver production ready AI applications with clean architecture and high performance ✅ Experienced in AI SaaS development, LLM integration, RAG systems, and AI automation ✅ Strong expertise in ChatGPT, OpenAI API, LangChain, and AI Agents ✅ Proven track record in machine learning, deep learning, NLP, computer vision, and OCR ✅ Build secure, scalable, and enterprise-grade AI systems ✅ Provide 30 days of support after project completion 📩 Ready to build your AI powered solution? Send a message to discuss your project and get a tailored AI solution. I am ready to help you build AI chatbots, RAG systems, AI agents, ML models, and full-stack AI applications that drive real results. Keywords: #AIEngineer #MachineLearningEngineer #GenerativeAI #LLMEngineer #AIAgents #AgenticAI #AIAutomation #WorkflowAutomation #n8n #RAG #RetrievalAugmentedGeneration #ChatGPTDeveloper #OpenAIAPI #LangChain #LlamaIndex #VectorDatabase #Pinecone #FAISS #Weaviate #AIChatbotDevelopment #ConversationalAI #NLP #PromptEngineering #AISaaS #AIAppDevelopment #PythonDeveloper #FastAPI #BackendDeveloper #FullStackAIDeveloper #ReactJS #NodeJS #APIIntegration #AIDevelopment #CustomAISolutions #AIConsulting #AIProductDevelopment #AIStartup #IntelligentAutomation #NoCodeAutomation #LowCodeAutomation #AIWorkflow #AISystemDesign #CloudAI #ScalableAI #EnterpriseAI #AIDeployment #AIOptimization #AutomationExpert #AIIntegration #UpworkExpert

Hey I'm Yannik 🪐 ▸ I landed $2M+ in contracts with BP, Shell, and NATO by building ML systems for a pipeline inspection company ▸ I've generated $35K for a YouTube agency through an N8N reporting automation ▸ I built a voice AI MVP for a therapy startup ▸ I'm also a PhD in theoretical physics But don't worry – I speak human. I get obsessed with details so you don't have to. Build it right, make it work, explain how to use it. That's it. Let's talk about your project.

I love to optimize systems, whatever they may be. I help make Data-Driven decisions. Through machine learning, AI, or any other methods, I will find the best way to manipulate the data at hand. My passion is in cryptocurrency/blockchain; feel free to ask me any questions about the cryptoverse!

✅ Top-Rated Upwork Freelancer ✅ 5 Star Rated ✅ 400+ hours worked ✅ 21 Jobs Completed Hi there! 👋 Data Scientist and Full-Stack Engineer with 10+ years of experience across LLM chatbots, data pipelines, web scraping, and cloud systems. I’ve built GPT-4 agents with LangChain, automated data collection at scale, and developed ML workflows for NLP, prediction, and classification. 🔹 Data Science & ML Python, Pandas, Scikit-learn, TensorFlow, Deep Learning, NLP, ANN, R, Apache Spark, MLlib, Data Mining, Data Analysis 🔹 LLM / Chatbots / NLP GPT-4, OpenAI API, LangChain, Prompt Engineering, RAG, Vector Embeddings 🔹 Web Scraping & Automation Selenium, Playwright, BeautifulSoup, Requests, Scrapy, anti-bot evasion, Google Sheets sync, automated form extraction, high-volume batch scraping 🔹 Cloud & DevOps AWS (EC2, S3, ECS, Lambda, API Gateway), GCP, Kubernetes, Terraform, Jenkins, CI/CD, ArgoCD 🔹 Full Stack Web Development React, Vue.js, JavaScript, Node.js, PHP, Laravel, HTML/CSS, WordPress, Shopify 🔹 APIs & Integration Custom Python APIs, RESTful APIs, SaaS platforms, third-party cloud tools, webhook automation Whether it's training ML models, powering chatbot logic, extracting web data, or deploying scalable systems—I handle the full workflow from data to production. 𝗪𝗵𝗲𝘁𝗵𝗲𝗿 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮 𝗰𝘂𝘀𝘁𝗼𝗺 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹, 𝗮 𝘄𝗲𝗯 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝘁𝗼𝗼𝗹, 𝗼𝗿 𝗵𝗲𝗹𝗽 𝗮𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗱𝗮𝘁𝗮, 𝗜’𝗺 𝗲𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂 𝗮𝗻𝗱 𝗯𝗿𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘃𝗶𝘀𝗶𝗼𝗻 𝘁𝗼 𝗹𝗶𝗳𝗲. Let’s chat about how I can help make your project a success! 🚀 𝗕𝗲𝘀𝘁 𝗥𝗲𝗴𝗮𝗿𝗱𝘀 Mubashir Babar.