Quantitative Research • Computer Vision • Large Language Models • Representation Learning
I'm a Computer Science and Engineering student at IIT Kharagpur, currently in Singapore as a visiting research student with the CVML group at NUS. I work mostly on computer vision and representation learning, with a recent detour into quantitative research on high-frequency market data.
I'm in the fifth year of the integrated B.Tech + M.Tech program in Computer Science and Engineering at IIT Kharagpur. Right now I'm in Singapore as a visiting research student in the CVML group at NUS, working with Prof. Angela Yao on video understanding, specifically representation learning for long-horizon procedural videos, where a model has to carry state across minutes and reason about which step is plausible next rather than classify frames in isolation.
At IIT Kharagpur I work with Prof. Pawan Goyal. Before that, I was at IBM Research and at KAIST in South Korea.
I got into quantitative research along the way and liked it a lot. I interned at Quadeye in the summer of 2026.
Pursuing integrated dual degree program in Computer Science and Engineering. Actively involved in research, competitive programming, and various technical competitions.
IEEE ICDCSW 2025
Formulated a novel label-mixing framework for Vertical Federated Learning, reducing RMSE by up to 72% for regression tasks with minimal data overlap. This work addresses the challenge of data heterogeneity in federated learning scenarios where participants have different feature spaces.
I'm always interested in research collaborations, internships, and academic discussions. Feel free to reach out.