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Divyakush2006/README.md

👨‍💻  Hi, I'm Divyakush Punjabi — a Full-Stack & AI Engineer 🚀 from India.

Portfolio LinkedIn Email Profile Views

Talking about me ✨

Coding

  • 👨🏽‍💻   I'm currently Software Engineering Lead at LMX Labs, driving architecture across two live platforms — Saturdays & DineGuru;
  • 🎓   B.Tech CSE @ VIT Vellore (GPA 8.17/10) + Major in AI @ IIT Ropar;
  • 🌱   Currently going deep on system design, LLM engineering, and RAG pipelines;
  • 🤖   I build at the intersection of full-stack engineering and applied AI;
  • 🏆   AIR-140 @ NEC (IIT Bombay) · Shortlisted for SIH 2025 & EY Techathon 2025;
  • 👯   Open to collaboration, open source, and SDE / AI internship opportunities;
  • 💬   Ask me about React, TypeScript, FastAPI, PyTorch, LangChain/RAG;
  • 📫   Reach me at divyakushpunjabi@gmail.com.

Technologies I work with 📚

Languages
Python TypeScript JavaScript Java C++

Frontend
React Next.js Tailwind Redux HTML5 CSS3

AI / ML
PyTorch TensorFlow Hugging Face LangChain OpenAI scikit-learn

Backend & Databases
Node.js FastAPI Django Celery PostgreSQL MongoDB

DevOps & Tools
Docker Git GitHub Vite Vercel Linux

Featured Projects 🚀

  • 🔬   Research Atlas — semantic discovery platform for AI-governance research · React · TS · Vite (GovernAI)
  • 🎬   Guilded Guild — SASRec deep-learning recommender · 98.47% AUC-ROC · PyTorch · Flask · React
  • 🛡️   Netra — edge-AI surveillance: ESP32-CAM + YOLOv8 auto-tracking · FastAPI · MQTT · React

My GitHub Stats 📊

Divyakush's GitHub stats Most used languages

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⭐️ From divyakush2006

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  1. Netra Netra Public

    Edge-AI surveillance system — ESP32-CAM + YOLOv8 autonomous person tracking, pan-tilt servos, anomaly scoring & patrol heat-maps, over MQTT. FastAPI + React.

    Python 2 1

  2. GAI-Research-Atlas GAI-Research-Atlas Public

    Semantic discovery platform for AI-governance research — unifies papers, repos & policy into one relevance-ranked search. React 18 · TS · Vite · Tailwind. (GovernAI)

    TypeScript 1

  3. Guilded-Guild Guilded-Guild Public

    Sequential deep-learning recommender (SASRec, PyTorch) for movies & music — Flask REST API + React/TS UI. 98.47% AUC-ROC on MovieLens 20M.

    TypeScript 1