I am a PhD student at CSE@IIT Bombay, and a Google PhD Fellow. I'm jointly advised by Abir De and Soumen Chakrabarti.

I design machine learning methods for predictive challenges on graphs, with a focus on neural graph retrieval. This currently involves developing deep learning models for solving graph combinatorial problems, scalable retrieval methods with trainable hashing, and ensuring interpretability through explicit alignment-driven justifications. These techniques are applicable to multimodal retrieval involving graphs from diverse domains, such as knowledge graphs, scene graphs, social networks, and molecular graphs.

My doctoral research is supported by the Prime Minister's Research Fellowship (2022-25), the Qualcomm Innovation Fellowship (2022-24), and the Google PhD Fellowship (2024-25).