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mirza-shafi/README.md

Hi πŸ‘‹, I'm Mirza Md. Shafi Uddin

AI Engineer | Backend Developer | CS Graduate @ BRAC University

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πŸ‘¨β€πŸ’» About Me

  • πŸŽ“ Computer Science graduate from BRAC University
  • πŸ€– Former AI Agent & LLM Intern @ Mevrik β€” built autonomous AI agents, real-time voice agents, and production RAG pipelines
  • 🧠 Specialized in LLM-powered applications, multi-agent systems, and agentic workflow automation
  • πŸ” Hands-on with Hybrid Search (BM25 + Vector), Cross-Encoder Reranking, and Vector Databases (Pinecone, ChromaDB, Redis)
  • βš™οΈ Experienced in FastAPI, LangGraph, CrewAI, and n8n Workflow Automation
  • 🐳 Proficient in Docker, AWS, and deploying scalable, containerized backend services
  • πŸ“¦ Currently completing an AI Engineering Bootcamp (Ostad) focused on Agentic AI, RAG reliability, and SLM fine-tuning

πŸ› οΈ Tech Stack

πŸ€– LLM & Agentic AI

πŸ” RAG Β· Vector DBs Β· Evaluation

🧠 ML & Data Science

πŸ’» Languages

βš™οΈ Backend & Automation

🌐 Frontend

☁️ DevOps & Cloud

πŸ—„οΈ Databases


πŸ“Š GitHub Statistics


πŸ“ˆ GitHub Profile Summary


πŸ† Achievements & Leadership

  • πŸ₯‰ 3rd Place – TechSpectra Soccer Bot Competition (Robotics Club of BRAC University)
  • πŸ… 5th Place – IUBAT Soccer Bot Competition
  • 🀝 Secretary, IT Department – Robotics Club of BRAC University (Feb 2024 – June 2025)
    • Managed IT operations for workshops, events, and robotics competitions; led an Arduino-based soccer robot project

πŸ“œ Certifications

  • βœ… Associate AI Engineer for Developers – DataCamp (Completed)

    • 26-hour specialized track covering OpenAI & Hugging Face APIs, prompt tuning, context windows, semantic architectures, and software design patterns for AI-native applications
  • 🎯 AI Engineering Bootcamp – Ostad (In Progress)

    • Specializing in Agentic AI Β· Advanced RAG Reliability Β· Hybrid Search Β· Cross-Encoder Reranking Β· SLM Fine-Tuning Β· Ragas Β· TruLens

πŸ“« Contact Me


🎯 Career Objective

My goal is to become a skilled AI Engineer by combining strong backend engineering expertise with LLM integration, multi-agent systems, and production RAG pipelines β€” contributing to impactful and scalable AI-powered products.


⭐ If you like my work, feel free to star repositories and connect with me.

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    An AI-powered Document Q&A system built with FastAPI, React, and Groq. Features Hybrid Search (pgvector + FTS), Semantic & Parent-Child Chunking, Cross-Encoder Reranking, and Llama-3.3 for highly a…

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