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I am currently a PhD student working with Prof. Biplab Sikdar at the National University of Singapore. I graduated with a B.Tech in Electrical Engineering and M.Tech in Artificial Intelligence from Indian Institute of Technology (IIT) Bombay in July 2025. There, I worked with Prof. Abir De on information retrieval using learned permutation matrices and exploring graph summarization using information theoreitc techniques. Part of this work has recently been accepted at AISTATS 2026.

In the past, I have worked on firmware attestation in IoT, explored neuromorphic computing for AI, and interned under Prof. Oliver Bringmann on developing an edge-device-compatible framework involving temporal convolutions and viterbi decoding for seizure detection.

My broad research focus at the moment is to use machine learning as an interpretable efficient tool to cover for inefficient parts of complex algorithms. To that end, I try to develop frameworks that work closely with theory, and use machine learning in key areas with a targeted purpose, not simply as large end-to-end black-boxes.

You can find a list of my publications here, and explore my projects on my GitHub.

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