I am a Postdoctoral Appointee at the Mathematics and Computer Science Division at Argonne National Laboratory, USA and a Postdoc-at-Large at the University of Chicago. My research focuses on optimizing large-scale data management across heterogeneous memory tiers and accelerating I/O performance for both classical HPC simulations and AI applications. Leveraging advanced asynchronous data movement and memory management strategies, I develop solutions for efficient hybrid CPU-GPU computations, as well as optimized loading, storing, caching, prefetching, and lazy flushing of GPU-resident distributed data structures—ensuring high-frequency, concurrent access to large data volumes.

Previously, I was a graduate student at the High-Performance and Distributed Systems Lab (HPDSL) in the Department of Computer Science at Rochester Institute of Technology (RIT), advised by Prof. M. Mustafa Rafique and Prof. Bogdan Nicolae (ANL). Before joining RIT, I worked as a full-stack developer for two years, designing and developing applications that scaled across hundreds of nodes, serving 100M+ users. I earned my undergraduate degree in Computer Engineering from RAIT, University of Mumbai, India, in 2017.