Muhammad Z.

Senior Python & AI engineer (~10 yrs). I build production AI features, agentic workflows, RAG pipelines, and reliable data systems. Deep in FastAPI, LLMs (Claude/OpenAI), and AWS. Over my career I've worked across edtech, travel search, healthcare SaaS, and AI-driven investment platforms, helping companies design, build, and scale systems that serve large user bases and process large volumes of data every day. My expertise is in Python, Django, FastAPI, PostgreSQL, AWS, and modern data engineering. I specialize in robust APIs, distributed systems, ETL pipelines, workflow automation, LLM integration, and full-stack applications with React and Next.js. What I Can Help You Build ✔ Backend APIs with Django, FastAPI, Flask, and Django REST Framework ✔ AI-powered applications using OpenAI, Claude, MCP, and agentic workflows ✔ RAG pipelines: chunking, embeddings, pgvector search, reranking, and evaluation ✔ Data pipelines and ETL systems using Airflow, Celery, PostgreSQL, and cloud infrastructure ✔ Web scraping and data collection systems using Selenium and custom automation ✔ Full-stack applications with React, Next.js, and modern API architectures ✔ AWS cloud infrastructure, Docker, CI/CD, and production deployments ✔ System architecture, performance optimization, and scaling existing products Notable Experience Built healthcare software handling patient data (PHI) in a HIPAA-covered environment, integrating hundreds of US medical practices. Worked on infrastructure supporting edX, helping maintain and upgrade services used by over 40 million learners worldwide. Built and maintained an investment intelligence platform processing data for more than 500,000 companies and startups. Designed founder-enrichment pipelines combining web scraping, search automation, third-party integrations, and AI-powered workflows. Developed portfolio tracking and investor intelligence tools used for data-driven investment decisions. Led migration of legacy applications to modern FastAPI and React architectures. Built and maintained travel provider integrations for major transportation companies, including booking, payments, and large-scale search. Developed subscription billing and recurring payment systems with automated processing, retries, and monitoring. Built a RAG system over documentation with pgvector, two-stage retrieval (cross-encoder reranking), grounded answers with citations, and an evaluation harness measuring retrieval quality, faithfulness, and abstention (open source, on my GitHub). Core Technologies Python • Django • FastAPI • Flask • PostgreSQL • MySQL • MongoDB • Redis • React • Next.js • AWS • Docker • Airflow • Celery • Kubernetes • OpenAI • Claude • MCP • RAG • pgvector • Selenium • CI/CD I focus on clean, maintainable, scalable solutions that solve real business problems. Whether you need a backend API, an AI-powered workflow, a RAG system, a data platform, or a complete product from idea to deployment, I can help turn your requirements into reliable production software.