I am a Senior Researcher at Microsoft Azure’s Cloud Accelerated Systems & Technologies team since September 2019. I received my Ph.D. from the Department of Computer Science at Georgia Institute of Technology in 2019 and obtained a Master’s in Electrical and Computer Engineering from The University of Texas at Austin (2014). I obtained my Bachelor’s degree from Indian Institute of Technology, Ropar where I was conferred the Presidents of India Gold Medal, the highest academic honor in IITs. My Ph.D. dissertation work received the NCWIT Collegiate Award in 2017. My work was bestowed the distinguished paper award at High Performance Computer Architecture in 2016.
My research interests lie at the intersection of computer architecture and machine learning. As a graduate research assistant at Georgia Tech, I led the Project TABLA; one of the pioneering works to design a full stack solution for accelerating advanced analytics. The entire stack, including the accelerator are available online at http://act-lab.org/artifacts/tabla/. This cross-stack solution – spanning from programming language to the hardware – rethinks the hardware/software abstraction by delving into the theory of machine learning. I have also actively contributed to Axilog, DnnWeaver (http://dnnweaver.org/), AxGames, PolyMath projects, in the domain of approximate computing and acceleration of deep learning.