# Shivansh Rao ## Machine Learning Engineer ## About Shivansh leverages expertise in computer vision, signal processing, and deep learning to develop image registration and restoration algorithms for mobile imaging. Prior to Glass, he worked at Qualcomm R&D on hardware-efficient algorithms for 6DoF head-pose-tracking and 3D Reconstruction. He earned his Master's degree from Penn State and Bachelor's from Delhi College of Engineering and has conducted research work at IIT-Kanpur, IIT-Delhi along with collaborative research with Google AI. His research is published at CVPR, ECCV, ACM-MM, and others, along with pending US patent applications. When he’s not making neural networks learn, Shivansh is out learning to surf and play tennis! ### Photos by Shivansh Rao [Full VIEW](/content/team/shivansh-rao#/index.html) Ziv Attar](/content/team/ziv-attar/index.html) Tom Bishop, Ph.D.](/content/team/tom-bishop/index.html) Mike Chang](/content/team/mike-chang/index.html) Doug MacEwen](/content/team/doug-macewen/index.html) Cole Cogswell](/content/team/cole-cogswell/index.html) Jasper Tan, Ph.D.](/content/team/jasper-tan-ph-d/index.html) Jeremy Wegener](/content/team/jeremy-wegener/index.html) Manuel Kolmet](/content/team/manuel-komet/index.html) Vishal Vinod](/content/team/vishal-vinod/index.html) Pranav Garg](/content/team/pranav-garg/index.html) Jingxi Li, Ph.D.](/content/team/jingxi-li/index.html) Laurent Gudemann](/content/team/laurent-gudemann/index.html) Neerja Aggarwal, Ph.D.](/content/team/neerja-aggarwal/index.html) Bernard Suwirjo](/content/team/bernard-suwirjo/index.html) Aram Danielyan, Ph.D.](/content/team/aram-danielyan/index.html) Tapio Manninen, Ph.D.](/content/team/tapio-manninen/index.html) Lasse Lampinen](/content/team/lasse-lampinen/index.html) Hao Ban](/content/team/hao-ban/index.html)