Gaurav Sharma
About Gaurav Sharma
Gaurav Sharma is the Head of AI Research at Typeface, specializing in brand-personalized and enterprise-scale multi-modal content creation technologies.
Current Role at Typeface
Gaurav Sharma currently serves as the Head of AI Research at Typeface. He began his tenure at the company in 2024. In this role, Sharma focuses on brand-personalized and enterprise-scale multi-modal content creation technologies. Based in Palo Alto, California, Typeface leverages advanced AI to drive impactful results in content creation and management.
Previous Role at TensorTour, Inc.
From 2021 to 2023, Gaurav Sharma was the Co-Founder and CEO of TensorTour, Inc. During his two-year tenure in the San Francisco Bay Area, he led the company in its mission to advance AI and machine learning technologies. His leadership at TensorTour was instrumental in shaping the company's strategic direction and technological innovations.
Academic Positions
Gaurav Sharma holds an ongoing position as a Visiting Assistant Professor at the Indian Institute of Technology, Kanpur, a role he has held since 2020. Previously, he served as an Assistant Professor at the same institution from 2016 to 2017. Sharma's academic contributions include applied machine learning research and pedagogical initiatives aimed at fostering advanced computing skills.
Industry Experience
Gaurav Sharma has accumulated extensive industry experience in various roles across notable organizations. He was a Researcher at NEC Laboratories America, Inc. from 2017 to 2020, and a Postdoctoral Fellow at the Max Planck Institute for Informatics from 2015 to 2016. Earlier roles include positions at Technicolor, CNRS - GREYC, UniCaen, and Samsung Delhi R&D, where he contributed to research and development in computer vision, machine learning, and other advanced computing technologies.
Education and Expertise
Gaurav Sharma earned his Doctor of Philosophy (PhD) in Computer Vision and Machine Learning from INRIA and University of Caen, where he studied from 2009 to 2012. He also holds an Integrated Master of Technology (M. Tech. Integ. 5 yrs) in Mathematics and Computing from the Indian Institute of Technology, Delhi, completed between 2003 and 2008. His expertise spans applied machine learning problems across textual, visual, and 3D modalities, with a focus on developing impactful AI products at scale.