Thomas Keunebroek

Machine Learning Manager, International Data Engineering

San Francisco Bay Area United States
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Summary

👤
Senior
🎓
Top School
Thomas Keunebroek is a seasoned machine learning and software engineering leader with 14 years of experience building and managing data-driven teams at Apple in the San Francisco Bay Area. He has progressed from hands-on Siri software engineering to technical product management and now leads international data engineering for ML, demonstrating a rare blend of deep technical chops and product-oriented leadership. Thomas pairs practical engineering experience—mobile app development and AR experimentation on Android—with large-scale ML quality and search initiatives, giving him both startup-style agility and enterprise execution. His background includes cross-cultural technical studies in Europe and the U.S., reflecting comfort operating in international, multidisciplinary environments. Known for pragmatic problem-solving, he has shipped production fixes, performance improvements, and user-facing tutorials in open-source projects, signaling attention to both developer and end-user experience. He brings a disciplined, metrics-driven approach to turning complex ML and search problems into reliable, scalable systems.
code13 years of coding experience
job3 years of employment as a software developer
bookInternational program Computer Science, International program Computer Science at University of Rhode Island
bookInternational program Computer Engineering, International program Computer Engineering at Technische Universität Braunschweig
bookMaster's degree Computer Science, Master's degree Computer Science at Université de Technologie de Compiègne (UTC)
languagesEnglish, German, French
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Github Skills (11)

mobile-application10
javas10
mobile-development10
fragment10
android-development10
fragmentmanager10
java10
ui-design9
interface-design9
camera-api9
user-interface9

Programming languages (2)

JavaPHP

Github contributions (5)

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an augmented reality attempt
Role in this project:
userMobile Developer (Android)
Contributions:47 commits in 10 days
Contributions summary:Thomas primarily focused on the development and improvement of the Android application, "ChaseWhisplyProject". They implemented a static factory pattern for the `GameScoreFragment` instantiation. Additionally, the user added a sign-out feature, fixed issues with persistent signed-in states, and addressed a crash related to fragment IDs. The user also optimized the camera-related code and added a tutorial to help new users navigate the application.
augmentedaugmented-realityunityreality
uvweb/UVwebForAndroid

Jan 2013 - Jul 2013

Contributions:332 commits in 6 months
kotlinratingutcandroid
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Thomas Keunebroek - Machine Learning Manager, International Data Engineering