I am an MS Robotics student at the School of Interactive Computing, Georgia Tech. My interests broadly lie at the intersection of Robotics, Computer Vision and Deep Learning. Specifically, I am passionate about Scene Understanding for Robots, aiming to guarantee robust performances in unforeseen scenarios.
One of my recent experiences involved exploring open-source software development as a Google Summer of Code'23 contributor at Ivy (Unify AI), with an aim to optimize for real-world deployment in Robotics applications. Prior to this, I was a Project Associate at the Robotics Research Centre (RRC), IIIT Hyderabad. At RRC, I worked on Scene Understanding for Autonomous Driving in Adverse Weather Conditions
(affiliated with Queensland University of Technology (QUT)
ZF Group, and spearheaded the IHub Project Mobility on UAV-based Visual Remote Sensing for Civil Infrastructure Safety Assessment.
I spent the summer of 2020 working on Simultaneous Localization and Mapping (SLAM) for Level-5 Autonomy at Swaayatt Robots. Post this, I transitioned to a Software Engineering role at Amdocs, and alongside, collaborated with the Norwegian Biometrics Laboratory (NTNU, Norway) to conduct research on Image Super-Resolution problem.
MS in Robotics, 2023-2025
Georgia Institute of Technology, Atlanta
B.Tech in Electronics & Communication Engg, 2016-2020
Sardar Vallabhbhai National Institute of Technology, Surat
Developed autonomous navigation for OmniDrive and Quadruped robots
Automated building inspection using the aerial images captured using UAV.
Developed a web app-based e-trainer using a flask web server and a Deep Learning-based model for posture correction
Developed an Identification system using RFID reader, LCD display and Atmel AVR microcontroller.
Proposed a triplet loss-based optimization framework for Image Super-Resolution
Improved point cloud registration and mapping by incorporating semantic information in the ICP algorithm
Proposed Gated Differentiable Image Processing (GDIP), a domain-agnostic architecture for object detection in adverse conditions.