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