I am a Ph.D. Student at Georgia Tech, advised by Dr. Tushar Krishna.

My current research is on 'Algorithmic Optimization and System Design for LLM Inference'. I have worked on LLM inference dataflow optimizations, KV cache compression, LLM runtime analysis engine, and MoE optimizations. I have also worked on a wide range of topics, including sparse accelerator design, sparse training algorithms, and sparsity runtime optimization. My interest spans deep learning accelerators and algorithms, interconnection networks, networks-on-chip (NoC), and computer architecture.

Besides academic research, I love hiking and want to travel as much of the world as possible. I love reading about History, Human Psychology, Geopolitics, and Religion.

I spent 4 wonderful years at the foothills of the Himalayas during my B.Tech. at the Indian Institute of Technology (IIT) Roorkee (2015-2019). Before joining Georgia Tech, I worked at AlphaICs developing Edge inference AI accelerators. I was part of the team that taped out the Gen-1 GLUON AI accelerator in 16nm TSMC.