Gaurav Singh is an engineering leader for Nemo product at Ridecell which aims to make automotive data more meaningful and searchable. He works with his team to solve key problems related to architecture, perception and systems for both the edge and cloud parts of Nemo. He is especially interested in the drive to improve edge processing in vehicles to increase safety and to identify useful data to send back to the cloud. Gaurav has seven years of experience in developing and deploying computer vision-based perception systems for ADAS and AVs. Through his early career experience in developing system software, Gaurav brings an extensive systems background to his current job in the computer vision field. He has a Masters degree in Robotics from Carnegie Mellon University.