I am a master’s student in the Computer Science department at the University of Illinois, Urbana-Champaign (UIUC). I am fortunate to be advised by Prof. Romit Roy Choudhury at the SyNRG lab. I am currently working on Earable Computing particularly focusing on healthcare applications of earables. Prior to joining UIUC, I spent three wonderful years at Samsung Research, Seoul.
Over the past few years, I have built and deployed end-to-end systems spanning multiple disciplines like Mobile Sensing, Computer Vision, Deep Learning for graphs, Explainable AI, and Big Data in various environments including academic research, as well as industry. I am passionate about solving problems in the area of Healthcare, Education, and Accessibility using technology.
Download my CV.
B.Tech in Computer Science and Engineering, 2019
Indian Institute of Technology, Delhi
MS in Computer Science, 2024
University of Illinois, Urbana-Champaign
Catcha provides a new gamified shopping experience in offline retail stores. The core underlying technology of Catcha is a deep learning-based on-device infrastructure free indoor positioning system and Augmented Reality.
Note Z helps in taking notes while recording the video simultaneously. It is designed specifically for foldable phones.
Decision Support System (DSS) is a web application developed for government officials in India. It helps in managing the schedule, bringing in all the data of the city/district at a single place, and supporting decisions related to maintaining law and order & efficient implementation of schemes.
An android application that helps gym owners manage their day-to-day gym operations.
Gym Companion utilizes surveillance cameras to help you track the workouts in the gym automatically using state-of-the-art computer vision algorithms.