Christopher Suter
Software Engineer at Google DeepMind
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChristopher Suter is a software engineer with 15 years of experience building production-scale systems in research and product environments, currently contributing to Google DeepMind in Mountain View. He spent over a decade at Google across Research (TensorFlow, optimization, probabilistic programming) and AdWords, blending deep mathematical foundations with practical engineering. His open-source contributions to TensorFlow Probability show a focus on probabilistic reasoning, numerical correctness, and maintainability of complex ML libraries. Christopher has also advised a Barcelona coding school, reflecting a commitment to mentorship and broadening access to technical education. With a BA in Mathematics, he brings rigorous analytical thinking to probabilistic and optimization problems that bridge research and real-world systems.
15 years of coding experience
17 years of employment as a software developer
BA Mathematics, BA Mathematics at University of Florida
English, Spanish
Stackoverflow
1,338reputation
59kreached
48answers
1question
Github Skills (9)
tensorflow10
tensorflow-probability10
python10
machine-learning9
statistics8
keras6
bayesian6
pymc6
autoencoder6
Programming languages (4)
Github contributions (5)
tensorflow/probability
Feb 2018 - Jan 2023
Probabilistic reasoning and statistical analysis in TensorFlow
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 releases, 8 reviews, 346 commits in 4 years 11 months
Contributions summary:Christopher primarily focused on improving the functionality and maintainability of the TensorFlow Probability library. The contributions involved fixing bugs related to dependency handling within the `setup.py` file, and making adjustments to the library's internals, primarily through changes to various testing files. The commits demonstrate work on addressing issues related to incorrect calculations within mathematical functions, alongside general code style tweaks.
statisticspythonprobabilistic-reasoningdata-sciencedeep-learning
csuter/pyjdb
Mar 2015 - Feb 2024
Contributions:1 push, 1 comment, 2 issues in 8 years 11 months
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