I am a first-year PhD student in the Sampa, Sampl and Systems groups at the University of Washington, advised by Luis Ceze and Tom Anderson. My research interests lie at the intersection of operating systems and computer architecture.
I am currently working on μTVM, which aims to bring deep learning to bare-metal devices. I am also exploring how to program and orchestrate network-attached accelerators in the datacenter.
Previously, I worked on cluster scheduling and virtual memory interface design at Microsoft Research India. I have also worked on accelerator support for real-time systems at Carnegie Mellon University and on an interference-free high-resolution timer subsystem at the Max Planck Institute for Software Systems.
I received my bachelors degree in computer science from BITS Pilani.
I recently attended ASPLUW 2018 at Bainbridge Island near Seattle. Met some great folks and was introduced to several exciting research themes at UW and in the industry.
Our paper on introspective cluster scheduling for deep learning will appear at OSDI 2018!
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