I am working as a Project Associate at the Robotics Research Centre (RRC), IIIT Hyderabad. At RRC, my work focuses on vision and learning in general and, more specifically, I am currently working on Scene Understanding for Autonomous Driving in Adverse Weather Conditions
(affiliated with Queensland University of Technology (QUT)
and
ZF Group), where I am advised by
Prof. Madhava Krishna and
Dr. Sourav Garg.
I spent the summer of 2020 working on SLAM (or mapping) for Level-5 Autonomous Driving at Swaayatt Robots. Post this, I worked as a Software Engineer at Amdocs. Alongside, I worked on Image Super-Resolution problem with the Norwegian Biometrics Laboratory (NTNU, Norway).
My research interests broadly lie in Robot Perception and I motivated by an agent's understanding of the scene and how it can ensure robust performance in unforeseen circumstances by efficiently understanding its surrounding and adapt to it.
I always look forward to interesting collaborations or chats on AI. Feel free to ping me on LinkedIn or through email.B. Tech in Electronics & Communication Engineering, 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.
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.