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