I am a graduate student at the Robotics Institute, Carnegie Mellon University (CMU) working with professor Aviral Kumar on offline reinforcement learning. I am interested in working at the intersection of machine learning (ML) and robotics.
Previously, I worked as a research associate at professor Howie Choset’s Biorobotics Lab on skill learning and snake robots. During my undergrad, I spent time working at professor Shital Chiddarwar’s IvLabs, building a stair climbing robot and an assistive robot. I spent the summer of 2020 working in professor David Held’s R-PAD Lab as a part of the Robotics Institute Summer Scholars program remotely.
Beyond research, I find joy in music, running, biking, and spending time outdoors.
M.S. in Robotic Systems Development, 2023-2025
Carnegie Mellon University
B.Tech in Electronics and Communication Engineering, 2017-2021
Visvesvaraya National Institute of Technology
[Jan. 2024] Started working with professor Aviral Kumar on offline reinforcement learning!
[Nov. 2023] Joining AIM Intelligent Machines as an ML / robotics intern during summer 2024!
[Mar. 2023] Accepted my offer to join the MS Robotic Systems Development (MRSD) program at CMU!
[Nov. 2021] Paper - FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy accepted to CoRL!
[Aug. 2021] Started working at the Biorobotics Lab, CMU!
[Aug. 2020] Bagged the first position at the Smart India Hackathon 2020, for developing an automated security and surveillance solution!
[Mar. 2020] Joining the RISS Program at CMU. Excited to work with professor David Held, Thomas Weng and the team!
[Sep. 2019] Paper accepted for oral presentation at the International Conference on Advances in Mechanical Engineering!
[Aug. 2019] Paper accepted for publication in the International Journal of Semantic Computing!
[Jul. 2019] Represented India at the Youth Deligation Program in Russia!
Skill (option) & skill-conditioned abstract world model extraction from offline data.
ROS packages for simulating and controlling biorobotics lab snake robots.
Framework to teach higher-dim student using experiences of a teacher.
Framework to train agent using representation learning.
Implementation of basic reinforcement learning algorithms.
Differential Drive robot for moving objects.
Wearable device to aid speech-impaired people.
Algorithm and Hardware for 2-D pose estimation.
MATLAB program to analyze motion of a target object.
Mentored 5 sophomores for their first project in Reinforcement Learning.
Mentored 9 freshmen for their first project in Machine Learning.