Muhammad Z.

I build full-stack applications powered by LLMs, RAG pipelines, LangChain, FastAPI, and React — shipped, deployed, and running in production, not sitting in a notebook. MSc in Artificial Intelligence. 30+ production projects spanning AI-powered web apps, RAG systems, AI agents, and full-stack platforms — frontend to backend to cloud. ━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ WHAT CLIENTS GET ━━━━━━━━━━━━━━━━━━━━━━━━ → One engineer who owns the full stack — UI to database to deployment → AI features that ship in production — not demos or Colab notebooks → Clean code, clear communication, minimal back-and-forth ━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 WHAT I BUILD ━━━━━━━━━━━━━━━━━━━━━━━━ 🔹 LLM Apps — OpenAI, Claude, Gemini, LLaMA, prompt engineering 🔹 RAG Systems — Pinecone, MongoDB Atlas, FAISS, pgvector, LlamaIndex 🔹 LangChain / LangGraph — AI agents, tool-calling, memory, multi-step reasoning 🔹 Backend — FastAPI, Python, REST APIs, PostgreSQL, MongoDB, Redis 🔹 Frontend — React, Next.js, responsive UI, real-time/streaming interfaces 🔹 Deployment — Docker, AWS (Lambda/EC2/S3), CI/CD, production monitoring ━━━━━━━━━━━━━━━━━━━━━━━━ 📦 RECENT RESULTS ━━━━━━━━━━━━━━━━━━━━━━━━ ✅ AI Event Planning Platform — FastAPI + Next.js, streaming chat, live venue search, full booking flow ✅ Automotive AI Assistant — FastAPI + Cosmos DB, personalized chat + booking integration, deployed end to end ✅ Semantic Profile Search — full-stack matching platform on MongoDB Atlas vector search ✅ AI Lead Qualification System — multi-agent backend + Salesforce integration + AWS Lambda → 80% less manual work ━━━━━━━━━━━━━━━━━━━━━━━━ 📩 NEXT STEP ━━━━━━━━━━━━━━━━━━━━━━━━ Tell me what you're building — I'll tell you the stack, the timeline, and what it'll take to get it live.