Chris Sauer

Staff Research Scientist at Google DeepMind

Palo Alto, California, United States
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Summary

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Rockstar
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Top School
Chris Sauer is a Staff Research Scientist at Google DeepMind with eight years of experience building applied AI and computer vision systems, and a track record as a founder who shipped mass-used consumer apps and developer tooling. A Stanford engineering valedictorian, he founded Hedron Vision to bring depth and physiological sensing to everyday cameras—one of his apps measures heart rate from a selfie and has been used millions of times. His background spans product and research roles at Google, Oculus, Dropbox, and Founders Fund, combining systems engineering, mobile development, and ML research. He is an active open-source contributor to tooling around Bazel and iOS device libraries, improving developer workflows and cross-platform compatibility. Known for turning research into robust products, he focuses on building useful tools that amplify human capabilities while navigating both low-level systems and large-scale model development.
code7 years of coding experience
job7 years of employment as a software developer
bookHigh School Valedictorian, High School Valedictorian at Menlo School
bookMaster and Bachelor of Science with Honors -- AI and Systems Computer Science, Master and Bachelor of Science with Honors -- AI and Systems Computer Science at Stanford University
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Stackoverflow

Stats
41reputation
3kreached
2answers
0questions
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Github Skills (27)

objective-c10
ios10
c-language10
mobile-development10
python10
build-system10
c1110
c1710
automation10
bazel10
automations10
clangd10
cprogramming-language10
clang10
scripting9

Programming languages (23)

MDXC#JavaC++CRustObjective-C++Go

Github contributions (5)

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Goal: Enable awesome tooling for Bazel users of the C language family.
Role in this project:
userBack-end Developer
Contributions:55 reviews, 220 commits, 38 PRs in 1 year 2 months
Contributions summary:Chris primarily contributed to the development and maintenance of tools for Bazel users focusing on the C language family. Their work involved implementing rules for refreshing `compile_commands.json`, essential for IDE integration. The contributions included improvements to header file handling, fixing issues with dependency entries, and refining the command-line argument parsing to ensure compatibility across various platforms.
objective-c-plus-plusobjective-cc-languageclang-tidycpp
lmirosevic/GBDeviceInfo

Nov 2018 - Oct 2022

Detects the hardware, software and display of the current iOS or Mac OS X device at runtime.
Role in this project:
userMobile Developer (iOS)
Contributions:10 commits, 15 PRs, 7 pushes in 3 years 11 months
Contributions summary:Chris focused on enhancing the `GBDeviceInfo` library, primarily adding support for new iPad models. They implemented device model and display information for recently released iPads, including those from 2019, 2021, and 2022. Additionally, the user fixed minor issues, such as correcting typos and standardizing screen dimension notations.
ipadmac-osiphoneruntimemac
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