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)
and
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 (Georgia Tech)
B.Tech in Electronics & Communication Engg, 2016-2020
Sardar Vallabhbhai National Institute of Technology, Surat
Object following, path planning and navigation algorithms using ROS2 software stack on Turtlebot3 platform
Developed autonomous navigation for OmniDrive and Quadruped robots
Automated building inspection using the aerial images captured using UAV.
Predicting an obstacle-free patch for high level control commands
Developed a web app-based e-trainer using a flask web server and a Deep Learning-based model for posture correction
Worked on AGRIBOT to solve crop weed classification problem
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.
Implemented path search/track algorithms like Pure Pursuit, Djikstra, A-star etc.