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Akarshkushwaha/README.md

Akarsh Kushwaha

Full Stack Engineer · Competitive Programmer


LinkedIn LeetCode Codeforces CodeChef GeeksForGeeks Gmail


$ whoami

name      : Akarsh Kushwaha
location  : Bareilly, India 🇮🇳
education : B.Tech CSE — MJPRU (2023–2027) | CGPA: 7.6

focus:
  - Full Stack Web Development
  - Real-time & AI-powered Systems
  - Competitive Programming

cp_stats:
  codeforces : Specialist  · Max Rating 1420
  codechef   : 2★          · Max Rating 1447
  hackerrank : 4★
  solved     : 600+ DSA problems

⚡ Tech Stack
Languages C++, Python, TypeScript, JavaScript, SQL
Frontend Next.js, React.js, Vue.js, Redux, Tailwind CSS
Backend Node.js, Express.js, Django, REST APIs, WebSockets (Socket.IO)
AI / ML PyTorch, HuggingFace Transformers, OpenAI Whisper, Gradio
Databases & Cloud PostgreSQL, MongoDB, MySQL, Supabase, AWS (EC2)
DevOps & Tools Docker, Kubernetes, Git, GitHub, CI/CD, Vercel, Postman

🚀 Featured Projects

🗣️ Converso — AI Voice Learning SaaS

Stack: Next.js 15, Clerk, Supabase, Vapi AI, Tailwind CSS

SaaS platform to create personalized AI voice companions for real-time educational conversations.

  • 🎙️ Real-time voice AI via Vapi SDK
  • 🔐 RS256 JWT auth — Clerk × Supabase
  • 📚 Session history, bookmarks & subject filtering
  • ☁️ Deployed on Vercel with CI/CD

🔗 Live Demo

💻 CodeSync — Live Interview Platform

Stack: Next.js 14, TypeScript, Convex, Clerk, Stream SDK

Real-time collaborative coding platform built for technical interviews.

  • ⚡ Ultra-fast sync via Convex real-time backend
  • 🎥 Embedded WebRTC video/audio — Stream SDK
  • 🔒 OAuth + JWT + RBAC via Clerk
  • ✅ Code execution engine with instant feedback

🔗 Live Demo

💬 Chatty — Real-time Chat App

Stack: React, Node.js, Express, Socket.IO, MongoDB, JWT

Production-grade messaging app with sub-50ms latency built for high concurrency.

  • ⚡ WebSocket architecture — sub-50ms message latency
  • 🎨 10+ customizable UI themes, responsive design
  • 🔑 JWT auth + bcrypt password hashing
  • 👥 Supports 100+ concurrent users

🔗 Live Demo

🧠 AI Lecture Intelligence Tool

Stack: Python, OpenAI Whisper, HuggingFace, BART/T5, Gradio

Automated pipeline: lecture video → structured notes with 70% less manual effort.

  • 🎙️ OpenAI Whisper for accurate transcription
  • 📝 BART/T5 transformers for abstractive summaries
  • ⏱️ 70% reduction in synthesis time
  • 🖥️ One-click Gradio interface

🔗 GitHub Repo

🏆 Competitive Programming

Platform Rank / Rating Highlight
Codeforces Specialist · 1420 Global Rank #1299 — Round #1067 Div. 2
CodeChef 2★ · 1447 70+ coding contests
HackerRank 4★ Strong problem solver
LeetCode 600+ solved Global Rank #2569 — Weekly Contest #458

📊 GitHub Stats

Visitors

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  1. CPP-DSA CPP-DSA Public

    C++ 1 1

  2. Fullstack-chat-app Fullstack-chat-app Public

    JavaScript 1 1

  3. interview-platform interview-platform Public

    TypeScript 1

  4. AI-Lecture-Intelligence-Tool AI-Lecture-Intelligence-Tool Public

    AI tool to summarize video lectures into notes.

    Jupyter Notebook