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  • University of Rochester
  • Rochester, New York
  • 00:49 (UTC -04:00)

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baazilakhlaque/README.md

Hi, I'm Baazil! 👋

🧑‍💻 About Me

I'm a Computer Science student at the University of Rochester passionate about developing secure, reliable & accurate AI-powered full-stack applications to solve real-world problems. I enjoy building reliable systems that scale and applying machine learning to user-facing challenges.

  • 🎯 Interests: Full-stack Engineering, AI Infrastructure, Distributed Systems, Agentic Architectures
  • 💼 Experience: Qualcomm, Research, Teaching Assistant

My Skills

Languages:
Python Java JavaScript TypeScript SQL R

Frameworks:
React Next.js Node.js Express FastAPI LangChain LangGraph CrewAI MCP

Developer Tools & Platforms:
Git GitHub Docker AWS Terraform GitHub Actions CI/CD Agile Vercel Linux

📬 Get in Touch

LinkedIn Email GitHub

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  1. PagePal-AI PagePal-AI Public

    Full-stack AI-powered study assistant built with RAG, Gemini, and Pinecone.

    TypeScript 1

  2. vin-agent vin-agent Public

    VIN: Virtual Itinerary Navigator - An MCP server for AI-powered event management.

    Python 1

  3. Financial-Analyst-Agent Financial-Analyst-Agent Public

    Multi-agent AI system for automated stock market analysis, visualization with Python, and cloud storage

    Jupyter Notebook

  4. AI-Meeting-Copilot AI-Meeting-Copilot Public

    Real-time AI meeting copilot: live transcript, contextual suggestions, and a streaming chat panel powered by Groq Whisper and GPT-OSS 120B. Built with Next.js, TypeScript, and Tailwind CSS.

    TypeScript 1

  5. AI-Voice-Journaling-App AI-Voice-Journaling-App Public

    A multilingual voice journaling app that lets users speak their thoughts in English or Urdu and instantly get written journal entries. Built with Next.js, Supabase, and Tailwind CSS.

    TypeScript

  6. mcp-powered-agentic-rag mcp-powered-agentic-rag Public

    An MCP-powered agentic RAG system with ML FAQ knowledge base & web search, aimed at overcoming the limitations of naive RAG pipelines

    Python