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Pete Warden

CEO of Useful Sensors, founding member of the TensorFlow team, and co-author of TinyML and Moonshine

  • CEO, Useful Sensors Inc1

Pete Warden's about page describes Warden as an engineer, CEO of Useful Sensors Inc, a founding member of the TensorFlow team, and author of TinyML. Warden is a co-author of the TensorFlow white paper and the 2016 TensorFlow system paper, and co-wrote the TinyML book with Daniel Situnayake, which covers TensorFlow Lite for Microcontrollers and training models small enough for microcontrollers. Warden is also a co-author of the Moonshine speech recognition papers; the Moonshine repository says everything runs on-device and publishes its code and most models under the MIT License.1234567

Work

  • TensorFlowOpen-source code

    Founding member of the TensorFlow team and co-author of the TensorFlow white paper and of the 2016 paper TensorFlow: A system for large-scale machine learning.123

    Project page (external site: github.com)

  • Moonshine (external site: github.com)Open weights

    Co-author of the 2024 Moonshine paper on speech recognition models for live transcription and voice commands and of the 2026 Moonshine v2 paper on streaming recognition for edge devices; the repository says everything runs on-device and licenses code and most models under MIT.567

  • TinyML (book) (external site: tinymlbook.com)Published research

    Co-author, with Daniel Situnayake, of TinyML, a book on training models small enough for microcontrollers that covers TensorFlow Lite for Microcontrollers.41

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

  1. 1.
    About — Pete Warden's blog (external site: petewarden.com)

    Pete Warden · Official page · accessed Oct 13, 2026

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    TinyML Book (external site: tinymlbook.com)

    Pete Warden and Daniel Situnayake · Official page · accessed Oct 13, 2026

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  7. 7.
    moonshine-ai/moonshine README and license (external site: github.com)

    Moonshine AI (GitHub repository) · Repository · accessed Oct 13, 2026

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