# 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)

### Team Members

- [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)