Gaurav Menghani San Francisco Bay Area, California. gaurav.menghani@gmail.com Blog / GitHub / LinkedIn / Twitter

Hi! I am currently a Software Engineer at Google Research in Mountain View, since June 2017. My research interests include, but are not limited to Machine Learning, Algorithms, and Distributed Systems. Currently I am focused on algorithms and techniques for Efficient Deep Learning.

Previously,

• Software Engineer at Facebook Inc., California (Feb 2013 - June 2017).
• M.S. (Computer Science), Stony Brook University, New York (Aug 2011 - Dec 2012).
• Associate Software Engineer, Accenture Services Pvt. Ltd., India (Jul 2010 - Jun 2011).
• B.E. (Computer Engineering), University of Mumbai, India (Aug 2006 - Jun 2010).

News

• Articles: Efficiency in Deep Learning series on KDNuggets.com (Part 1).
• Pre-Print: Gaurav Menghani, 2021. Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better .
• Talk: Efficient Deep Learning at MLConf 2021. (Recording, Slides).
• News Coverage of Google Cloud's Recommendation AI service. We helped optimize their server-side models.
  • TechRadar: Google Cloud is launching an AI recommendation engine for online retailers.
  • ZDNet: Google's Recommendations AI now in public beta .
  • PR Newswire: Google Cloud Launches Product Discovery Solutions for Retail, Bolstering Personalized Online Shopping .
• Pre-Print: Gaurav Menghani, Sujith Ravi. 2019. Learning from a Teacher using Unlabeled Data.
• News Coverage regarding our work on the Learn2Compress technology at Google AI.
  • Google AI Blog - Custom On-Device ML Models with Learn2Compress.
  • TechCrunch article about the MLKit offering by Google, a part of which is powered by Learn2Compress.