B.Tech CST · IEM Kolkata ('27) · CGPA 8.71
Pre-final year CS student focused on DSA, full-stack development, and applied ML/Computer Vision. I build end-to-end systems — from real-time backends to AI-powered tools — with a strong record in competitive hackathons and ongoing research in medical image classification.
Machine Learning for Medical Image Classification — Prof. Dr. Subhalaxmi Chakraborty
- Vision ensemble (85M+ params): EfficientNet-B4 + ViT-Base + ConvNeXt on 35K+ fundus images
- Focal Loss (γ=2.0) for class imbalance · ECE < 0.05 for publication-grade calibration
CogniCode — Next.js FastAPI Groq LLM ChromaDB React Flow
AI codebase intelligence dashboard · sub-second semantic search across 10K+ files · 60% less API tokens · 35% faster refactoring
Rail Sathi — React Native Node.js Socket.IO Groq AI
Railway companion · GPS-speed locks (95%+ data integrity) · Smart Split-Seat Algorithm (+25% utilization) · IoT crowd detection (90% accuracy)
MAITRI — Node.js Socket.IO
Wildlife tracking · 1K+ concurrent streams at <50ms · Dynamic Safe Path algorithm (+40% pathfinding efficiency)
Languages Java · C++ · C · JavaScript · SQL
Frontend React Native · Next.js · HTML5 · CSS3
Backend Node.js · FastAPI · Socket.IO
Data MySQL · ChromaDB · Git
AI/ML Groq LLM · OpenCV · YOLO · ResNet · EfficientNet · ViT
2026 ✦ Qualifier — Google The Big Code '26
2026 ✦ Winner (IoT) — Binary V2 Hackathon, KGEC Kalyani
2026 ✦ 1st Runner-Up — Watch The Code GEHU Haldwani
2025 ✦ 1st Runner-Up — Technologia 1.0 UEM Kolkata
2025 ✦ Finalist — IIT Madras Shaastra Coding Contest