Research, learning, and notes

About

I’m currently a Lead Engineer in the AI Research group within the Applied Research & Technology team at Collins Aerospace (RTX).

I completed my master’s by research (M.S.) at the Indian Institute of Technology Madras, advised by Dr. Mohanasankar Sivaprakasam. My research focused on unsupervised domain adaptation and deep representation learning.

This site collects what I’m reading, learning, and thinking about along the way.

Date	Update
Jul 2026	Graduated from IIT Madras with an M.S. (Research).
May 2026	🎉 Won first place in the inaugural alphaXiv × marimo Notebook Competition for Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights. Winner announcement.
Apr 2026	🎉 Equiangular Prototype Alignment for Unsupervised Domain-Adaptive Medical Image Segmentation was accepted to IEEE ICIP 2026. Paper · Code.
Jun 2025	Mechanistic Interpretability of Transformers in Non-dictionary Setting Using Toy Datasets, accepted to ICONIP 2024, is now published. Paper.
Jul 2024	Joined the Applied Research & Technology team at Collins Aerospace (RTX).

Browse my notes for research paper summaries, ideas, and explanations on deep learning, language, vision, and mathematics.

I’m happy to discuss machine learning, mathematics, and computing, or explore collaborations. Reach me by email.