Summary
Aswinkumar R is an AI/ML engineer and ECE master's student at UW–Madison with a decade of hands-on experience accelerating deep learning across research and production. He has driven GPU-focused performance wins at NVIDIA—designing AI-for-Science pipelines, teaching global workshops, and mentoring teams—and recently optimized DL models and deployment workflows at Vayu Robotics and AMD. His work spans physics-informed neural nets, neural operators, DeepStream real-time inference, and ray-traced visualization, delivering multi-fold speedups and practical tooling adopted by research institutes. A background in engineering physics from IIT Madras underpins his hardware-software fluency, evidenced by leading an ESP32 SoC board project that reached mass distribution. He combines classroom-level teaching with competitive hackathon mentorship, and quietly blends systems-level optimization with applied research to move models from prototype to scalable deployment.
10 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Madras
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at University of Wisconsin-Madison