Sandeep Kumar is a Senior AI Systems Architect with nine years of experience building hardware-aware deep learning systems and toolchains that bridge PyTorch models to silicon. Based in San Diego, he has led Micro-NPU software stacks, behavioral simulators and co-design frameworks at Qualcomm that shortened accelerator validation cycles by months and enabled LLMs and vision models to run on milliwatt-class devices. He combines low-level kernel and runtime tuning with model-level quantization and architecture-aware training to deliver order-of-magnitude gains in inference efficiency and power. His background spans embedded perception, autonomous drones and compact keyword-spotting models, reflecting a consistent focus on deploying practical AI on constrained hardware. Notably, he authored bit-exact C++ hardware simulators and PyTorch-based co-verification tooling that align research prototypes with real silicon behavior. He holds an MS in Machine Learning and Signal Processing from UW–Madison and brings a full-stack mindset to hardware-software co-design.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Machine learning and Signal Processing, Master of Science - MS Machine learning and Signal Processing at University of Wisconsin-Madison
Bachelor of Engineering - BE Electrical Electronics and Communications Engineering, Bachelor of Engineering - BE Electrical Electronics and Communications Engineering at Sri Venkateswara College of Engineering
Contributions:19 commits, 13 pushes, 1 branch in 1 year 6 months
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Sandeep R - Senior AI Systems Architect at Qualcomm