Muhammad Ahmad

AI Software Engineer

I help teams turn messy workflows into dependable AI products identify where AI can create real value, and build practical solutions around those needs

From AI copilots and RAG systems to production software, I connect the right data, model, and interface around the problem that actually needs solving.

AI Product EngineeringRAG ArchitectureAI AutomationFull Stack Production Delivery
Profile

Experience

Full Stack AI Developer · Job

  • Developed and maintained FastAPI backend services and WebSocket APIs for real-time client-server communication.
  • Built CI/CD pipelines to automate application testing and deployment, supporting faster and more reliable releases.
PythonFastAPILLMRAGREST APIsWebSocketsBackend DevelopmentCI/CDTestingDeployment

Education

Government College University Lahore

Bachelor of Science in Computer Science

Lahore, Pakistan

Studied programming fundamentals, object-oriented programming, data structures, algorithms, databases, and software engineering.

Computer ScienceObject-Oriented ProgrammingData StructuresAlgorithmsDatabase SystemsSoftware EngineeringProblem Solving

GitHub Contribution

Projects

AI Meeting and Video Assistant interface

AI Meeting & Video Assistant

Offline AI assistant that transcribes meetings and videos, generates structured reports, and enables private RAG-based search.

Tech stack
  • Electron
  • FastAPI
  • LangChain
  • Ollama
  • Whisper
  • ChromaDB
  • Docker
Multi-Agent Research Assistant interface

Multi-Agent Research Assistant

Multi-agent system that searches, reads, critiques, and streams source-backed research reports in real time.

Tech stack
  • Python
  • FastAPI
  • LangChain
  • React
  • OpenRouter
  • Tavily
  • Docker
Sentiment Analysis Application interface

Sentiment Analysis Application

Full-stack NLP application serving real-time sentiment predictions through FastAPI and a responsive React interface.

Tech stack
  • Python
  • FastAPI
  • React
  • TypeScript
  • scikit-learn
  • Docker
RAG Document Chat interface

RAG Document Chat

PDF question-answering application with MMR retrieval, streaming responses, and context-aware RAG.

Tech stack
  • Python
  • FastAPI
  • LangChain
  • ChromaDB
  • Mistral AI
  • React
  • Docker

Connect

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M Ahmad