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Ph.D. data scientist, 10+ years applied ML, Top Rated on Upwork with 4,000+ hours. My recent work is LLM agents in production. Reliability problems that only surface after deployment, where data science depth matters more than most expect. My background started in quantitative work: forecasting, trading systems, time series, probabilistic models. That shapes how I think about AI systems. I know the failure modes that show up after you deploy, and I know what "reliable enough" means for a given problem. Not just in theory. What I work on now: AI agents and multi-agent systems. Reasoning pipelines, orchestration, tool calling, human-in-the-loop controls. The hard part is at the boundary: where the LLM reasons, where deterministic code takes over, and what happens when the model is confidently wrong. RAG and document intelligence. Hybrid retrieval, reranking, citation tracing. Systems where every answer needs to be source-traceable, because "probably correct" was not good enough. Python backends with FastAPI on AWS, GCP, and Azure. The layer connecting AI to the rest of the product. LLM integration and evaluation: Claude, OpenAI, open-weight models. Structured outputs, function calling, eval pipelines. I have also reviewed production code for LLM training pipelines, so I have seen model behavior across thousands of real inputs I did not design. I work best with clients who have a specific, real problem and want a system their team can maintain. Stack: Python, FastAPI, Claude API, OpenAI API, LangChain/LangGraph, pgvector/Pinecone/Qdrant, PostgreSQL, Docker, AWS/GCP/Azure.

Most businesses are sitting on valuable data, they just don't know how to use it yet. I help founders, managers, and growing businesses turn that data into clear decisions, accurate predictions, and real results. I work with businesses to solve practical problems using data: forecasting outcomes, understanding customer behavior, automating repetitive analysis, and building intelligent systems that save time and reduce guesswork. - Turning messy, overwhelming data into clear, actionable insights - Building prediction models with 87%+ accuracy that help you plan ahead with confidence - Automating manual reporting and analysis to save your team hours - Identifying patterns in customer data to support smarter business decisions - Delivering results you can actually act on, not just technical reports A few things I'm proud of: - ⭐ 100% Job Success Score across all completed projects on Upwork - 🎯 Built prediction models achieving 87% accuracy on real-world data - ✅ 5-star reviews on every completed client engagement across multiple platforms - 📊 Delivered solutions across healthcare, education, and business analytics I focus on practical solutions, not just theory. Every project I take on is built around your specific business goals and designed to fit into how your team already works, no unnecessary complexity, just results. If you're ready to make your data work for you, I'd love to hear about your project. Let's talk.

Hi! I’m a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁 with 4+ years of experience helping companies turn raw data into clear predictions, insights, and measurable results. I work across 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝘀𝗽𝗼𝗿𝘁𝘀 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 (𝗡𝗕𝗔 & 𝗡𝗙𝗟), 𝗮𝗻𝗱 𝘀𝗼𝗰𝗶𝗮𝗹 𝗶𝗺𝗽𝗮𝗰𝘁, delivering models that actually perform in the real world. 𝗔 𝗿𝗲𝗰𝗲𝗻𝘁 𝗰𝗹𝗶𝗲𝗻𝘁 𝘀𝗮𝗶𝗱 𝗶𝘁 𝗯𝗲𝘀𝘁: ⭐⭐⭐⭐⭐ “I've worked with Ahmed on a number of projects and he continues to do an excellent job. The project was completed successfully and another one is already being started. He is a great freelancer to work with” 🚀 𝗪𝗵𝗮𝘁 𝗜 𝗛𝗲𝗹𝗽 𝗪𝗶𝘁𝗵 • Predictive modeling & forecasting • Sports analytics (NBA/NFL DFS) • NLP & text classification • Clustering, segmentation & ML pipelines • Data analytics & dashboarding I focus on solutions that are practical, accurate, and actionable - not academic experiments. 📊 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗧𝗵𝗮𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 • Built forecasting models with 85%+ accuracy • Increased sales by 50% through smarter data pipelines • Saved $150,000/year with simulation-based optimization • Automated processes that cut payment cycles from 90 to 30 days I’ve also worked with UNDP, Save the Children, and Omdena, applying ML to global connectivity, solar adoption, and online child safety. 🤝 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 • Fast, reliable communication • Business-minded problem solving • Models that deliver real impact • A versatile skillset across industries 🛠 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Python • SQL • Pandas • NumPy • Scikit-Learn • TensorFlow • NLP • BigQuery • Looker Studio • Google Cloud • Tableau • ML pipelines • Forecasting • Clustering • CV models. 📞 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘂𝗻𝗹𝗼𝗰𝗸 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮? Send me a message - I’d love to help you turn your dataset into something valuable.

I’m a Machine Learning Engineer who builds end-to-end prediction systems from real-time and streaming models to offline batch pipelines that power mission-critical prediction applications. Alongside traditional ML, I work on next-gen AI solutions including Generative AI, intelligent agents workflows, and retrieval-augmented systems, combining MLOps best practices with cloud native infrastructure to deliver scalable, production ready AI. Ultimately, I'm passionate about engineering next-gen AI that delivers tangible business value and scales for real-world impact.

🌟🌟🌟 Experienced Software Engineer with a proven track record in developing sophisticated systems across diverse industries. 🌟🌟🌟 ✅ Proficient in creating robust models for stock trading, medical equipment detection, anomaly detection, and object classification using PyTorch, TensorFlow, and Ray. ✅ Extended experience setting up CI/CD pipelines and cloud deployment strategies. ✅ Enthusiastic about web development, focusing on Django, .NET Core, and Laravel frameworks and front-end development with React.js. ✅ Keen interest in Crypto/Blockchain development, exploring the innovative possibilities in this exciting field.

I have a keen eye with data and get excited about solving hard problems. If you are looking for an engineer to get your job done efficiently whilst providing multiple approaches to reach the optimal one, I am the one for you! I am an AI Engineer with extensive experience in the following: 1. Computer Vision 2. Data Science 3. Machine Learning 4. Generative AI (LLM, Agents, MCPs, Agentic Workflows, RAG) I am a problem solver at heart and a constant learner, so throw me your hardest problem and if it is not under my belt, I will learn to solve it in the most effective manner! Looking forward to hearing from you and the projects to come forth with, Cheers!