Hi! I am a Second year Ph.D. Student at the National University of Singapore, currently working with Dr. Harold Soh at the Collaborative, Learning, and Adaptive Robotics (CLeAR). My research focusses on Robot Learning, Human-Robot Collaboration and Classical Planning. Previously, I worked on Learning action models of black-box agents through agent-interrogation with Dr. Siddharth Srivastava and before that, I worked on AI agents that generate explanations for planning tasks for humans with Dr. Yu (Tony) Zhang. When I’m not working on research, you would generally find me either playing some guitar, or cooking, or sketching, or watching british panel/comedy shows. I am also the Social Secretary for the NUS Graduate Student Society, where we organize career development as well as social events for the Graduate students of NUS.
UPDATE: I’m actively looking for research internship opportunities for 2023 Summer!
Ph.D. in Computer Science, 2026
National University of Singapore
Masters in Robotics and Autonomous Systems(Artificial Intelligence Concentration), 2021
Arizona State University
B.Tech in Mechanical Engineering, 2019
National Institute of Technology, Karnataka
Designed, developed, prototyped, fabricated and assembled (as a team) two industry-level robots that were to play a cooperative game of shuttlecock throwing.
Completed all projects within the Deep Reinforcement Learning Nanodegree Offered by Udacity
Implemented an Exploration algorithm on ROS-Gazebo platform that utilizes multiple robots communicating in a decentralized fashion to achieve complete coverage of an apriori unknown map
Investigated the applicability and utility of Recurrent Neural Networks for Motion Planning on a simulated UR5 robot arm in a ROS-Gazebo framework.