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rj41-w2/README.md
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About Me

> What is your name?
Rehan Jamil

> What do you do?
Agentic AI Developer (Learning)
Full Stack Enthusiast

> Where are you from?
Pakistan

> What are you currently learning?
→ TypeScript & Advanced React Patterns
→ System Design & Architecture
→ Cloud (AWS/GCP) & DevOps

> What is your motto?
"One new concept every day — consistency is the key"

> _

Featured Projects

Project Description Tech Stack Link
idm-cli Lightning-fast, universal CLI download manager with parallel chunk downloading, auto-resume & media extraction Python Repo
todo-evolution Full-stack task manager scaling from Python CLI to Next.js & FastAPI with Gemini-powered AI chatbot Next.js FastAPI Python Repo
Mini_Agent_Challenge Empathetic AI assistant with real-time emotion tracking, contextual memory & WhatsApp integration Repo
physical-ai-book-hackathon-1 Documentation platform for Physical AI course with RAG chatbot powered by Qdrant and Groq Docusaurus FastAPI Repo

Current Focus

  • Building agentic AI applications with LLMs and tool use
  • Creating full-stack applications with modern stack
  • Deep diving into System Design & Distributed Systems
  • Learning TypeScript, React patterns & Cloud architecture
  • Looking to collaborate on open-source projects

Let's Connect


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Made with ❤️ by Rehan Jamil • © 2026

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  1. idm-cli idm-cli Public

    A lightning-fast, universal command-line download manager written in Python. Supports parallel chunk downloading, auto-resume, queue management, and media extraction from YouTube and Facebook.

    Python 2

  2. todo-evolution todo-evolution Public

    EVO-TODO: An evolutionary full-stack task manager scaling from a Python CLI to a production Next.js & FastAPI platform, featuring an integrated Gemini-powered AI chatbot.

    TypeScript

  3. Personal-AI-Employee-Hackathon-0 Personal-AI-Employee-Hackathon-0 Public

    An autonomous, local-first Digital FTE built for the Personal AI Employee Hackathon. It leverages Claude Code, Obsidian, and the Model Context Protocol (MCP) for a complete human-in-the-loop workflow.

    Python

  4. physical-ai-book-hackathon-1 physical-ai-book-hackathon-1 Public

    A production-grade documentation platform for a Physical AI & Humanoid Robotics course, featuring a built-in RAG chatbot powered by Qdrant and Groq, built with Docusaurus and FastAPI.

    TypeScript