Computer Science @ GCE Keonjhar • JNV Alumnus
3rd Year CS Student focused on Machine Learning. I specialize in bridging the gap between complex AI research and production-ready applications. Currently seeking a **Paid ML Internship**.
Deep dives into architecture and optimization.
Reverse-engineering the YOLOv8 architecture to optimize for edge devices. Focus on quantization and pruning to maintain mAP while reducing latency on mobile hardware.
Building the "Attention is All You Need" architecture from the ground up. Implementing multi-head attention and positional encoding without high-level library abstractions.
A full-stack application that handles real-time data ingestion and model inference. Features a Django backend to serve a scikit-learn predictive model via REST API.