Software Engineer at Google

From 2013 to present, I've worked on the Google Brain Team. I helped conceive and implement the initial versions of TensorFlow, and built the research infrastructure behind Neural Architecture Search at Google. I currently work on problems related to self-driving vehicles. I generally enjoy working on hard problems in the intersection of machine learning and large-scale systems.


I received a Ph.D in Computer Science at Carnegie Mellon University in 2011, advised by Professor David Andersen.
Ph.D Dissertation: Energy-efficient Data-intensive Computing with a Fast Array of Wimpy Nodes. [pdf]
October 2011.
2012 School of Computer Science Distinguished Dissertation Award.

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