I’m looking for full-time research positions. Please reach out to me, if you think my expertise fits the role you are hiring for.

I am a PhD student in Computer Science at Purdue Univeristy, advised by Prof. Milind Kulkarni . My thesis introduces several reductions to accelerate applications involving irregular programs by mapping them to the hardware acceleration provided by GPU Ray-Tracing architecture. My broad research interests span Parallel Computing, High-Performance Computing, Databases, and Compilers. Before coming to Purdue, I did my undergrad in Computer Science & Engineering at the Indian Institute of Technology, Hyderabad, India.

I recently finished my Summer ‘24 Internship at Meta, where I worked on building a scalable distributed random walks service on a large scale graph. Prior to this, in the summer 2022, I interned at Katana Graph, where I had the opportunity to work with Roshan Dathathri on accelerating random walks on graphs. I was also at Simon Fraser Univerity, Vancouver, Canada briefly during the summer 2019 for MITACS internship. Thanks to Prof. Keval Vora, I had an amazing experience building a scalable solution to process computations on streaming graphs.