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Real World Impact
Engineered a high-performance, offline-capable face recognition system with liveness detection for edge devices. Integrated and optimized state-of-the-art lightweight models (SCRFD, GhostFaceNet) using ONNX Runtime for CPU inference, achieving millisecond-level precision. Developed a database-agnostic MVP with a FastAPI backend, FAISS vector search, and WebSocket-based real-time feedback, ensuring secure, low-latency authentication without cloud dependency.

Built an intelligent conversational agent that adapts to user proficiency levels, providing real-time feedback on grammar and pronunciation for immersive language learning.

Developed a computer vision system to automatically identify and track individual puffins for conservation research, replacing manual tagging methods.

Implemented dynamic pricing algorithms for a Leading Global Airline to optimize cargo revenue based on demand forecasting and competitor analysis.

Created a predictive model for a Major Hospitality Group to forecast linen usage across hotel chains, optimizing inventory management and reducing operational costs.