Michael G. is a computer engineer with extensive experience in compilers, parallel computing, ASIC design, and machine learning. Currently, they work at NVIDIA as a Senior Deep Learning Performance Engineer, focusing on end-to-end training performance for large language models. Previously, Michael served as the AI Compiler Lead at EnCharge AI, where they contributed to the development of ML compilers for in-memory computing technologies. They have also held positions at Qualcomm and Waymo, optimizing AI applications and accelerating machine learning on various platforms. Michael earned both a Bachelor's and a Master's degree in Electrical and Computer Engineering from Purdue University.
Location
Chicago, United States
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