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Rajat Monga

Co-author of the TensorFlow white paper and the TensorFlow system paper from Google Brain

Rajat Monga is a co-author of the TensorFlow white paper, which lists its authors at Google Research and describes the interface and implementation built at Google and their open-source release under the Apache 2.0 license. Monga is also a co-author of the 2016 paper TensorFlow: A system for large-scale machine learning, whose authors are listed at Google Brain and which describes how TensorFlow builds on experience with Google's first-generation system, DistBelief.12

Work

  • TensorFlowOpen-source code

    Co-author of the TensorFlow white paper and of the 2016 paper TensorFlow: A system for large-scale machine learning; the white paper describes TensorFlow's release as open source under the Apache 2.0 license.12

    Project page (external site: github.com)

Other documented roles

Roles the sources document but that are not confirmed as current.

This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 13, 2026

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