Suresh Nambi is a Deep Learning Performance Architect at NVIDIA, specializing in AI/ML compute architecture with a focus on cross-stack optimization for large language models and deep learning systems. They have previously held roles as a TA for various computer systems architecture courses at Stanford University while also contributing as an ASIC Engineer and SoC Architecture Intern at NVIDIA. Suresh's academic background includes a Master of Science in Electrical Engineering from Stanford and a Bachelor of Engineering from BITS Pilani, alongside research experiences at notable institutions like Mitacs and CSIR-CEERI. Currently, Suresh is pursuing their Master of Science at Stanford and continues to drive advancements in hardware-software co-design for AI acceleration.
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