I am currently a PhD student in the Computer Science Department at the University of North Carolina at Chapel Hill, working with Prof. Daniel Szafir. I also completed my MS in Computer Science from the University of North Carolina at Chapel Hill in May 2023. My research centers on Human-Robot Interaction and Long Horizon Reasoning in Robotics, specifically building functionalities to improve Robot Long Horizon Reasoning and designing systems which allow users to interact with such robots. In my recent work, we designed and evaluated a interactive and multimodal end-user robot programming system to allow users to author and visualize reactive robot behavior. I have developed an approach utilizing Large Language Models to convert high-level tasks into environmentally-aware action plans for intelligent agents. Additionally, I have contributed to the design and evaluation of an immersive Cyber-Physical Control Room interface for the Boston Dynamics Spot quadruped robot. In the past I have worked with Prof. Gedas Bertasius on studying the zero-shot performance of Vision Transformers for video object segmentation and pose propagation.

My professional journey includes research internships at Honda Research Institute USA, where I worked with the Intelligent Robotics Research team to build intelligent systems to assist robot teleoperators. Prior to that I worked at AI Garage, Mastercard, India, where I focused on Graph Machine Learning to generate contextual embeddings for credit cards and merchants. I also interned at Samsung Research Institute, Bangalore where I worked in the Computer Vision team of the Advanced Technology Lab.

Prior to my graduate studies, I completed my Bachelors in Technology in Computer Science from the Indian Institute of Technology, Bombay, where I collaborated with Prof. Ajit Rajwade on 3D Reconstruction in Cryogenic Electron Microscopy for my Undergraduate thesis. I also served as the Software team lead for The The IIT Bombay Mars Rover Team, where I worked on building rovers capable of traversing on Mars like terrain.