Cedric Renggli

Senior Machine Learning Researcher at Apple

Zurich, Zurich, Switzerland
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Summary

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Rockstar
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Top School
Cedric Renggli is a Senior Machine Learning Researcher based in Zurich with eight years of experience building data-centric systems that tightly integrate ML models for scalability and usability. He holds a PhD from ETH Zürich and transitioned from academic research and Google internships to applied ML engineering roles at Apple, where he progressed from Machine Learning Research Engineer to Senior Researcher. His work focuses on foundations for practical, efficient ML-driven data systems—bridging rigorous research with production constraints. Cedric maintains a public record of publications and projects on his personal webpage, signaling a strong commitment to reproducible, open scholarship. Notably, his background spans both deep research and earlier .NET software development for government and consulting clients, giving him unusual breadth across systems engineering and research. Colleagues describe him as someone who turns theoretical insights into usable tooling and scalable pipelines.
code7 years of coding experience
job12 years of employment as a software developer
bookBachelor of Science, Computer Perception & Virtual Reality, Computer Science, Bachelor of Science, Computer Perception & Virtual Reality, Computer Science at Berner Fachhochschule BFH
bookDoctor of Science - PhD, Computer Science, Doctor of Science - PhD, Computer Science at ETH Zürich
languagesFrench, German, English
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Github Skills (20)

transfer-learning10
artificial-intelligence9
data-quality9
machine-learning9
developer-tools8
python8
ai8
shotgun8
image-classification8
tensorflow7
deep-learning7
semi-supervised-learning6
data-science6
optuna5
supervised-learning5

Programming languages (3)

C++TeXPython

Github contributions (5)

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DS3Lab/feebee

Jul 2021 - Feb 2022

Contributions:54 commits, 7 pushes in 7 months
easeml/snoopy

Dec 2021 - Apr 2022

System to perform a feasibility study for ML before developing costly machine learning models.
Contributions:12 commits, 2 PRs, 10 pushes in 4 months
pythondevelopingrobustnessdata-sciencemachine-learning
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