Biography
I am a hardware engineer at Microsoft Azure researching the next generation of neural network accelerators. I received my PhD from Cornell University, where I developed accelerators for machine learning inference tasks and was advised by Dr. José F. Martínez. I’m interested in smart ways of implementing algorithms in hardware, and re-thinking the hardware-software interface.
I completed my Bachelor of Technology in Electrical Engineering (with a minor in Physics) at the Indian Institute of Technology, Bombay. My thesis work then related to scheduling users in OFDMA networks.
I’m a private pilot and enjoy flying above the Pacific Northwest. I also enjoy rock climbing, hiking, photography, really any excuse to enjoy the spectacular outdoors. I also enjoy classical music, classic rock, or just curling up on my couch with a good book and a cup of chai.
Interests
- Computer Architecture
- Machine Learning
- Probabilistic Graphical Models
Education
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PhD in Electrical and Computer Engineering, 2018
Cornell University
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MS in Electrical and Computer Engineering, 2016
Cornell University
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BTech in Electrical Engineering, 2012
Indian Institute of Technology, Bombay