🌍 NIT Rourkela, India · 🎯 ML → production web apps · 🔧 React, Three.js, Supabase
🛠️ opencode · hermes-agent · cursor · claude · ⚡ learn by shipping, iterate fast
💼 Open for: ML / full-stack internship opportunities
I build things that matter. Right now that means splitting my energy between machine learning fundamentals (linear regression → neural nets) and modern full-stack web development (React, TypeScript, Three.js, Supabase). My goal is to bridge the gap — ship ML-powered web apps end to end, from trained model to deployed product.
The official website for NIT Rourkela's premier aeromodelling club. A production-grade platform for team induction, event registration, and member management.
├── 🎨 3D interactive hero powered by Three.js
├── 📝 Event registration with real-time Supabase backend
├── 🔐 Member authentication & role-based access control
├── ⚙️ Admin toggle panel for induction & registration windows
├── 📊 Excel/CSV export for applicant data management
├── 📱 Fully responsive across all device sizes
└── 🚀 Deployed on Vercel with CI/CD
Stack: React · TypeScript · Three.js · Supabase · Framer Motion · Vite · Firebase
| Area | Metric | Value | Details |
|---|---|---|---|
| 3D | Render performance | 60 FPS | Three.js hero scene optimized draw calls |
| 3D | WebGL draw calls | < 50 | UDAAN interactive scene |
| Backend | Query latency | < 100ms | Supabase real-time queries |
| UX | Breakpoints | 5 | Mobile-first responsive design |
| Auth | Role management | Admin / Member | Supabase RLS policies |
| ML | Training progress | Linear → Neural Nets | NumPy, Pandas, PyTorch |
| ML | Next milestone | Deep Learning | CNNs, computer vision |
▓▓▓▓▓▓░░░░░░░░░░░░ Fundamentals [████████░░░░] 40% — stats, linear algebra, supervised
▓▓▓▓░░░░░░░░░░░░░░ Deep Learning [████░░░░░░░░] 20% — CNNs, RNNs, PyTorch
▓▓░░░░░░░░░░░░░░░░ Advanced [██░░░░░░░░░░] 10% — Transformers, GANs, deployment
Currently: Statistics, linear algebra, supervised learning algorithms Working toward: Building and deploying a full ML-powered web application
□ Master ML fundamentals — statistics, linear algebra, supervised learning
□ Build an ML-powered web app — model training → API → frontend integration
□ Contribute to open-source projects
□ Ship 2+ portfolio projects this year
□ Land an ML or full-stack internship
Learning in public. Building in public. Growing in public.