About Me

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.

Education:

Columbia University (Feb 2023)

• Master of Science in Computer Science
• Specialization in Computer Vision and Robotics
• GPA: 3.90/4.00

National Institute of Technology, Tiruchirappalli (Sep 2021)

• Bachelor of Technology in Electrical and Electronics Engineering
• Graduated with Honors
• GPA: 9.04/10.00

Experience:

Vision and Robotics, Ottonomy Inc. (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 …)
• 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 (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 …)
• Collaborated on creating ScoopNet to harness synthetic data and achieve sim2real transfer for soft robot segmentation and pose estimation. (Learn more …)

Head of Workshops Team, EEE Association of NITT

• 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.