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Jeff Dean
Jeff Dean's file: Google infrastructure, Google Brain, Gemini, and Discovery Loop, spanning the systems and research stack underneath modern AI.
Dean joined Google before it became an empire, helped build the distributed systems that let it scale, moved those instincts into machine learning, helped open-source TensorFlow, and eventually became Google's chief scientist across both Research and DeepMind.

HOW THE HELL DID JEFF DEAN GET HERE?
1999
HE JOINS GOOGLE BEFORE THE MACHINE IS BUILT
Dean joined Google in 1999 and went on to hold a series of technical leadership roles spanning infrastructure and artificial intelligence.
RECEIPTS: Googlefirst-party
2004
MAPREDUCE TURNS THE DATA CENTER INTO A PROGRAMMING MODEL
Dean and Sanjay Ghemawat published MapReduce, describing Google's system for distributing large data-processing jobs across clusters of commodity machines.
RECEIPTS: Google Researchfirst-party
Jun 26, 2012
THE GOOGLE INFRASTRUCTURE GUY STARTS SCALING NEURAL NETWORKS
Dean and Andrew Ng described Google's work on very large neural networks trained across thousands of processor cores, part of the early Google Brain push toward large-scale deep learning.
RECEIPTS: Googlefirst-party
Nov 9, 2015
GOOGLE OPENS TENSORFLOW
Google open-sourced TensorFlow, the second-generation machine-learning system Dean and colleagues built for research and production-scale neural networks.
RECEIPTS: Google Open Source Blogfirst-party
Apr 20, 2023
GOOGLE MAKES HIM CHIEF SCIENTIST ACROSS RESEARCH AND DEEPMIND
When Google combined DeepMind and Google Brain, Dean became Google's Chief Scientist for Google Research and Google DeepMind, with responsibility for strategic technical projects and future AI research direction.
RECEIPTS: Googlefirst-party