About

Rajvi Shah is a highly experienced Research Scientist with over 10 years of experience in computer vision, image/video processing, and machine learning. Currently, she is a part of the mapping and localization team at Facebook Reality Labs Research in Redmond. Prior to this, she completed her PhD thesis on Geometry-aware methods for efficient and accurate structure from motion under the guidance of Prof P J Narayanan at IIIT Hyderabad. She also holds an MS by Research degree in computer vision from IIIT Hyderabad with a focus on video processing. Rajvi has interned at Google, Bangalore, and MPI Saarbrucken, where she worked on Google VR Headset Removal Project and Advanced Video Editing Projects, respectively. She has also taught image processing and computer vision courses at the graduate level. Her current areas of interest lie at the intersection of machine learning with geometric computer vision and 3D image/video processing techniques. Rajvi has an impressive publication record, which can be found on her Google Scholar profile. She has presented her research at several international conferences and workshops. Her technical skills include research scientist, computer vision, ML, and image processing. Rajvi holds a B.Tech degree in Electronics & Communications from Nirma University, an MS by Research degree in Computer Science from IIIT Hyderabad, and a PhD in Computer Science from IIIT Hyderabad. She has relevant experience of 2.87 years in her current role. Rajvi is a dedicated researcher with a passion for exploring the potential of computer vision and machine learning to solve complex real-world problems.