Resume.
Experience, education, and technical range. The PDF version is available when a formal resume is useful.
Professional history.
The through-line across these roles is a mix of production responsibility, system-level thinking, and staying close to the work.
Sr. Tech Lead, AI/ML Autonomous Systems · KPIT Technologies
Leading and building production AI systems across mobility, perception, and in-cabin intelligence while staying close to architecture, optimization, and deployment.
- Led perception and in-cabin AI work across global mobility programs while staying close to implementation detail.
- Managed 15-20 member teams while driving architecture, execution planning, technical reviews, and delivery.
- Built multi-model, multi-sensor pipelines under hard latency, compute, throughput, and safety constraints.
- Worked across deployment and optimization topics including ONNX conversion, TensorRT, quantization, distillation, and inference acceleration.
Software Engineer · Independent / Freelance Work
Built product-oriented systems across mobile ML and full-stack application development.
- Developed a deep learning based neural style transfer system for mobile applications.
- Built a full-stack platform for healthcare billing workflows.
Software Engineer · Accenture
Worked on backend platforms, automation, and telecom systems where correctness, process, and modernization mattered.
- Built automated testing systems for telecom services.
- Contributed to rating, billing, and backend modernization work in production settings.
Education and capabilities.
A compact view of education and the technical areas I reach for most often.
Education
- M.S. Computer Science
University of Colorado Boulder
2024 - Present
GPA: 4.0 - Executive PG Programme in ML & AI
IIIT Bangalore
2022 - 2023
CGPA: 3.66 / 4.0 - B.E. Computer Engineering
Nagpur University
2013
Skills
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