Rupesh Bharambe
I build |
AI/ML Engineer · 5x Hackathon Winner · SIH'24 Grand Finale Winner
Featured Projects
// hand-picked highlights
Real-Time Electricity Demand Forecasting
Problem: Delhi's power grid lacked accurate short-term demand forecasting. Solution: Built SARIMAX + Transformer hybrid model on 12+ years of historical data enriched with real-time weather. Impact: 98%+ accuracy at 5-minute granularity, deployed on GCP with auto-retraining pipeline.
Face Liveness Detection System
Problem: Facial recognition systems are vulnerable to spoofing attacks (photos, videos, masks). Solution: Custom neural network with 477 facial landmarks + mathematical formulae for dynamic response-based liveness. Impact: 99% accuracy at <200ms latency, optimized for low-resource devices — applicable to KYC, banking, proctoring.
Enterprise AI/ML Solution Suite
Problem: Real industry datasets with limited availability and high-performance constraints. Solution: End-to-end ML pipelines with forecasting, anomaly detection, and optimization on actual enterprise data. Impact: Won @scale AI Hackathon — evaluated by Findability Sciences / NSBT industry experts.
About Me
// quick intro
I'm a final-year B.Tech student in AI & Data Science, passionate about building intelligent systems that solve real-world problems. From winning Smart India Hackathon 2024 to building SatSage for ISRO's satellite data, I thrive at the intersection of research and production engineering.
Read more →