Rachit Garg

Rachit Garg is a Senior Deep Learning Architect at NVIDIA, where they optimize the end-to-end stack for training deep learning models across hardware and software layers. With a background in deep learning algorithms, performance optimization, and workload characterization, Rachit has contributed to NVIDIA's successful MLPerf training submissions. Prior experience includes roles as a Design Engineer at Freescale Semiconductor, a Hardware Design Engineer at Oracle, and a Senior ASIC Engineer at NVIDIA, focusing on enhancing GPU efficiency for various workloads. Rachit earned a Master of Science in Computer Engineering from Purdue University and a B.Tech in Electronics and Communications Engineering from the Indian Institute of Information Technology.