MLCommons
Arun Tejusve Raghunath Rajan is an experienced Technical Lead at Cruise, responsible for working on the confluence of Compute, Memory, and System Architecture for Autonomous Cars. Arun Tejusve also serves as the MLPerf PowerWG Co-Chair at MLCommons, where Arun Tejusve standardizes power measurement frameworks. With a background at Intel Corporation as a Senior Technical Lead and Product Lead, Arun Tejusve has extensive expertise in hardware architecture, product development, and competitive analysis. Arun has a Master's degree in Electrical and Computer Engineering from the University of Utah and a Bachelor's degree in ECE from SRM IST.
MLCommons
MLCommons is an Artificial Intelligence engineering consortium, built on a philosophy of open collaboration to improve AI systems. Through our collective engineering efforts across industry and academia we continually measure and improve the accuracy, safety, speed and efficiency of AI technologies–helping organizations around the world build better AI systems that will benefit society.