Bio
Gaurav Menghani is a Staff Software Engineer at Google Research where he leads several research projects aimed at optimizing large ML models for efficient training and inference on devices ranging from tiny microcontrollers to Tensor Processing Unit (TPU)-based servers. His work has positively impacted > 1 Billion of active Google users across YouTube, Cloud, Ads, Chrome, etc. He is also an author of an upcoming book with Manning Publication on Efficient Deep Learning. Before Google, Gaurav worked at Facebook for 4.5 years where he worked on Facebook’s Search system and large-scale distributed databases. He has an M.S. in Computer Science from Stony Brook University.