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).

At IIIT-B, I worked on spherical K-Means clustering algorithms and their application in recommender systems.

I was associated with the Multi-modal Perception Lab at IIIT-B and did my M.Tech thesis under the supervision of Prof. Dinesh Babu
My thesis work was titled "Deep generative models to generate valid SMILES strings" (sequential representation of molecules). This work focused on improving the percentage of valid SMILES sequences generated using existing deep learning methods by introducing a modified training strategy. <