Computer vision at scale.
The problems, tools, and decisions behind the work.
PROFESSIONAL WORK · JIO
Real-time systems, end to end.
At Jio, I worked on license-plate recognition, people analytics, and access-control systems. This involved detection and recognition models, tracking, reproducible retraining, and deployment.
Scaling a vision pipeline is also a systems problem. NVIDIA DeepStream supported efficient camera-stream processing, while Milvus provided vector search for feature-based lookup.
PROFESSIONAL WORK · SAMSUNG ELECTRO-MECHANICS
Understanding driver attention.
I also developed perception models for driver monitoring, including face detection and identification, facial landmarks, gaze estimation, and drowsiness detection.
RESEARCH INTERNSHIP · IIT BOMBAY
Vision for rice phenotyping.
My earlier work at the Agro Informatics Lab involved differentiating rice genotypes through image features, machine learning, and improved annotation workflows.
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