At Auriga IT, I work across full-stack and backend systems, including a real-time computer vision pipeline for ATMS (Automated Traffic Management System, NHAI) that processes video streams for vehicle speed detection and license plate recognition.
I also trained a shuttlecock detection model for badminton performance analysis and optimize backend architecture with Redis caching, Kafka, and RabbitMQ. In personal projects, I built systems for sign-language translation, real estate price prediction, and deepfake video classification.
