Mohamed R.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

I have 3 years of experience in AI and 4 years of experience in software engineering, specializing in Large Language Models (LLMs) and retrieval-augmented generation (RAG). I bring a strong foundation in clean code, scalable architecture, and backend development with FastAPI and Flask. My AI work focuses on building intelligent systems using modern frameworks like LangChain, LlamaIndex, and HuggingFace, paired with vector databases, SQL/NoSQL, and a solid grasp of machine learning, deep learning, and NLP. I'm experienced in prompt engineering, local LLM deployment (Vllm, Ollama, LM Studio), and building production-ready RAG pipelines. On the engineering side, I work across the stack Python, FastAPI, Flask, Django with databases like PostgreSQL and MongoDB using SQLAlchemy. I deploy and manage infrastructure on AWS and containerize applications with Docker. Key Skills: LLM & AI: LlamaIndex, LangChain, RAG, Hugging Face, OpenAI API, LiteLLMs, ReAct Agents, ChromaDB, Local LLMs (Ollama, LM Studio), Prompt Engineering, Embeddings Data & ML: Polars, NumPy, Pandas, PyTorch, NLP Backend: Python, FastAPI, Flask, Django, REST/GraphQL Databases: SQLAlchemy, PostgreSQL, MongoDB, Vector Databases Cloud & DevOps: AWS (Lambda, S3, RDS, Bedrock, etc.), Docker Why Choose Me: I combine software engineering discipline with AI specialization. With a background in mathematics and a proven track record of delivering production systems from OCR optimization to multi-agent research pipelines. I bridge the gap between experimental AI and reliable, scalable software. I'm a practical problem solver who writes clean code and cares about architecture. Let's collaborate and bring your project to life.