July 2022: Paper accepted at ECCV 2022 (Oral); May 2022: Outstanding Reviewer for CVPR 2022; March 2022: GateHUB accepted at CVPR 2022; February 2022: Patent granted, Patent No.: US 11,238,885 B2; December 2021: Reviewer for CVPR 2022; Published multiple papers including GateHUB, Unsupervised Few-Shot Action Recognition, MUSE, BLT, and HyperSTAR.
Research Experience
Currently a Principal Researcher at Microsoft Cloud+AI, involved in Multimodal research and development. Previously, worked as a Software Development Engineer at Amazon. During his time at Carnegie Mellon University, he researched model compression and Hypernetworks.
Education
Master's in Computer Vision from Robotics Institute, Carnegie Mellon University, where he worked with Prof. Kris Kitani on model compression and Hypernetworks. Graduated with a B.Tech. in Computer Science and Engineering from Indian Institute of Technology Ropar with the President of India Gold Medal.
Background
Principal Researcher at Microsoft Cloud+AI, working on the research and development of Computer Vision and Machine Learning related products. Currently pursuing Multimodal research and development as part of the Responsible AI pillar under Azure Cognitive Services, supporting products like Azure AI Content Safety and Azure OpenAI. Previously, worked on AutoML as part of the Microsoft Custom Vision Service. Interested in computer vision, multimodal machine learning, automated machine learning (AutoML), semi-/self-supervised learning, and meta-learning.