Recipient of the 2019 Facebook PhD Fellowship in Hardware & Software Infra for ML; Paper 'Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search' accepted at ASPLOS'21.
Research Experience
Research Intern at NVIDIA Research (May 2021 - Aug 2021), developed a novel programming paradigm for high-performance sparse tensor algebra kernels; Research Intern at Facebook AI Research (Jan 2020 - May 2020), created a new control paradigm for hardware accelerators targeting irregular workloads like recommendation systems; Research Intern at Facebook Reality Labs (May 2019 - Aug 2019), developed Mind Mappings, a gradient-based tool for algorithm-accelerator mapping space search; Research Engineer at ARM Research (Jul 2017 - Jul 2019), worked on ARM SoC products, led the first internal research project on edge ML inference accelerator, and built an ML accelerator prototype.
Education
Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (2017-2022), advised by Prof. Chris Fletcher; B.Tech in Electronics and Communication Engineering from National Institute of Technology Karnataka, Surathkal (2011-2015), advised by Prof. Sumam David.
Background
Research interests include Computer Architecture, Domain Specific Programmable Processors, and Machine Learning for Systems. Currently, the Founder and CEO at ChipStack, focusing on using AI to address core bottlenecks in chip design.
Miscellany
Personal interests and other details not mentioned.