About Me

Can AI understand and solve complex real-world issues?

As a Machine Learning Scientist, I am broadly interested in developing data driven approaches to understand and tackle complex real-world problems. My work lies at the intersection of machine learning, natural language processing, and network science, with applications in responsible AI, financial document analysis, and social impact domains.

I earned my PhD from McGill University, School of Computer Science, in 2025, under the supervision of Prof. Reihaneh Rabbany at Complex Data lab. My doctoral research focused on developing weakly supervised and graph-based methods to detect organized and suspicious activity in online platforms, particularly in online escort advertisement ecosystems.

I graduated from International Institute of Information Technology, Bangalore, India (IIIT-B) and received my M.Tech (Master of Technology) and B.Tech (Bachelor of Technology) degrees in IT (Information Technology). I did my M.Tech thesis under the supervision of Prof. Dinesh Babu and my thesis work focused on improving the validity of AI generated drug discovery (SMILES sequences). <