About me

I’m a master’s student in Computer Science at the University of Southern California, working at the intersection of language-model verification, multimodal learning, and agentic systems. My current research examines autoregressive–diffusion complementarity, verifier error correlation, and calibration under constrained inference budgets. Through GRIDS, I’m also developing permission mechanisms that reconcile adaptive agent behavior with explicit user-defined boundaries.

Previously, at IIT Madras’s Sudha Gopalakrishnan Brain Centre, I adapted language and vision-language models for computational neuroscience and digital histology. My engineering experience spans resource-constrained perception, hierarchical agent orchestration, reusable Python infrastructure, and production backend architecture, connecting model-level experimentation with dependable system design.