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I build computer vision systems for robotic perception, leveraging deep learning to enhance autonomy and functionality. I am currently focusing on designing robust algorithms and distilling and optimizing foundational models for real-time performance on edge devices. Outside of work, I enjoy hiking, skiing, and trail running, finding inspiration in nature and adventure to fuel my creativity and problem-solving skills.
Columbia University{:target="blank"} (Feb 2023)
- Master of Science in Computer Science
- Specialization in Computer Vision and Robotics
- GPA:
3.90/4.00
National Institute of Technology, Tiruchirappalli{:target="blank"} (Sep 2021)
- Bachelor of Technology in Electrical and Electronics Engineering
- Graduated with Honors
- GPA:
9.04/10.00
Vision and Robotics, Ottonomy Inc.{:target="blank"} (May 2022 - Present)
- Developed a context-aware GAN architecture for vision-based localization of autonomous robots in large-scale environments. (Learn more ...)
- Designed MobileDerainGAN to tackle challenges in robot perception during adverse weather conditions in a semi-supervised setting. (Learn more ...){:target="blank"}
- Deployed and led pilot projects of autonomous robots in diverse environments, spanning city sidewalks, casino and bowling alleys, and crowded mall settings.
Research Intern, National University of Singapore{:target="blank"} (Mar 2020 – Nov 2020)
- Built a multiphysics simulation platform for magnetically actuated robots to generate large scale synthetic datasets and enhance soft-robot perception. (Learn more ...){:target="blank"}
- Collaborated on creating ScoopNet to harness synthetic data and achieve sim2real transfer for soft robot segmentation and pose estimation. (Learn more ...){:target="blank"}
Head of Workshops Team, EEE Association of NITT{:target="blank"}
- Led a team of 10 students to organize workshops during the annual department symposium attended by over 400 students, covering themes such as ML and Game Dev.