Background.
Professional history, education, and the technical scope of my work. A downloadable CV is available when a formal document is useful.
Professional history.
Production AI, multi-sensor perception, optimization, and technical leadership across 12+ years.
Sr. Tech Lead, AI/ML Autonomous Systems · KPIT Technologies
Led AI/ML systems work across perception, in-cabin sensing, and deployment while staying hands-on with architecture, optimization, middleware, and delivery.
- Led teams of 14-20 engineers across perception and in-cabin AI programs, covering architecture, execution planning, technical reviews, and delivery.
- Built multi-model, multi-sensor systems spanning camera, LiDAR, radar, pose, gaze, and anticipation components.
- Optimized and deployed models on constrained platforms using ONNX, TensorRT, quantization, distillation, graph optimization, and inference acceleration.
- Designed middleware for concurrent perception workloads and tuned a custom CenterNet pipeline to 33 FPS on full-resolution input.
Earlier work
- Software Engineer · Independent / Freelance Work2017 - 2018 · Bengaluru
Built product-oriented ML and web systems before moving fully into production AI.
- Software Engineer · Accenture2014 - 2017 · Bengaluru
Worked on backend and telecom platforms where automation, migration work, and production correctness mattered.
Education and technical scope.
Education and the technical scope I work across most often.
Education
- M.S. Computer Science
University of Colorado Boulder
2024 - Present - Executive PG Programme in ML & AI
IIIT Bangalore
2022 - 2023 - B.E. Computer Engineering
Nagpur University
2013
Technical scope
Languages
Python, C++, Rust, C
ML / CV
PyTorch, TensorFlow, ONNX, ONNX Runtime, TensorRT, OpenCV, scikit-learn
Deployment
Model optimization, Quantization, Distillation, Graph optimization, Inference profiling, Embedded pipelines
Domains
Perception systems, Autonomous driving, In-cabin sensing, Driver monitoring, Multi-modal pipelines, Technical leadership