Geoffrey Bolmier
Senior Machine Learning Engineer at HouseSigma
Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolGeoffrey Bolmier is a Senior Machine Learning Engineer with nine years of experience building production ML systems across industries from automotive at Volvo Cars to proptech at HouseSigma. France-born and Virginia-based, he combines a strong academic foundation in applied mathematics and computer science with hands-on roles in data science, model engineering, and open-source collaboration. He has contributed to core statistical functionality and documentation in the well-regarded online-ml/river project, reflecting attention to both algorithmic correctness and developer usability. Geoffrey’s background includes short-term research and applied roles at institutions like Columbia’s Data Science Institute and Airbus, showing versatility in adapting ML to scientific and industrial contexts. Known for improving code readability and adding metrics to libraries, he brings a thoughtful balance of engineering rigor and product-focused delivery. Colleagues rely on him to translate complex statistical methods into maintainable, production-ready solutions.
9 years of coding experience
6 years of employment as a software developer
Master of Science (MSc) Applied Mathematics and Computer Science, Master of Science (MSc) Applied Mathematics and Computer Science at Université Paul Sabatier Toulouse IIIAssociate’s Degree Applied Mathematics and Computer Science, Associate’s Degree Applied Mathematics and Computer Science at University of Pau and Adour Countries
English, French
Github Skills (8)
machine-learning10
python10
elearning10
documentation9
incremental-learning9
data-science8
drift7
stream-processing7
Programming languages (5)
Github contributions (5)
online-ml/river
Apr 2019 - Jun 2022
🌊 Online machine learning in Python
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:3 releases, 25 reviews, 126 commits in 3 years 2 months
Contributions summary:Geoffrey primarily focused on fixing typos and updating documentation within the `online-ml/river` repository, demonstrating a focus on code readability and clarity. The user also made code changes in relation to statistical computation, including adding new metrics. These contributions suggest a role in developing and improving the core functionality of the online machine learning library, including its performance and documentation.
stream-processingpythonstreaming-datadata-scienceonline-statistics
gbolmier/groupe7_prediction
Dec 2017 - Jul 2021
Contributions:35 pushes, 1 branch, 29 issues in 3 years 7 months
sidprojettravaildictionpromo
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