93.58% accuracy using Random Forest on imbalanced dataset. Reduced false positives by 15%.
92.3% accurate ensemble ML system with Flask backend and IoT alert pipeline.
95% accurate real-time system, reduced attendance time by 80%. Won 1st Prize in TECHNOYASH-25.
Smart India Hackathon finalist app with Flutter UI and Flask backend using INCOIS data.
Built ML pipelines, improved model accuracy by 15%.
Built e-commerce prototype with React & Node.
I enjoy building intelligent systems that combine machine learning, software engineering, and real-world impact. My focus is on scalable, data-driven products.