Jels Boulangier
Senior Cloud Engineer at Octiva
Leuven, Flemish Brabant, Belgium
Summary
👤
Senior🎓
Top SchoolJels Boulangier is a Senior Cloud Engineer based in Leuven with 10 years of experience building resilient, serverless-first infrastructure for fast-moving tech companies and energy-focused initiatives. He combines a PhD-level scientific background in astrophysics with hands-on expertise in Python, AWS (CDK, Lambda, ECS, DynamoDB) and IaC to deliver automated, production-grade platforms and reusable infrastructure components. At Bird he supported 150+ engineers and 50+ applications, standardising CI/CD, observability, and multi-account multi-region deployments while driving cost and compliance improvements. He’s pragmatic about ownership: engineers should build, test, deploy and operate what they ship, and he embeds that through tooling, documentation and mentorship. His open-source testing contributions to matplotlib highlight a careful attention to correctness and maintainability that complements his production work. Passionate about Climate and Energy Tech, he seeks roles where data-driven decisions, quality and long-term architecture matter.
10 years of coding experience
9 years of employment as a software developer
Master's degree Astronomy and Astrophysics, Master's degree Astronomy and Astrophysics at KU Leuven
English, Dutch, French
Stackoverflow
804reputation
230kreached
4answers
0questions
Github Skills (17)
data-visualizations10
pytest10
python10
matplotlib10
testing10
data-visualisation10
data-visualization10
numpy9
pip6
gitlab6
jestjs6
aws-codeartifact6
python-poetry6
typescript6
amazon-web-services6
Programming languages (5)
Github contributions (5)
matplotlib/matplotlib
Mar 2018 - Mar 2018
matplotlib: plotting with Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 1 PR, 4 comments in 8 days
Contributions summary:Jels primarily focused on testing and ensuring the correct behavior of matplotlib's contour functionalities, specifically related to the log scale and extension parameters. Their contributions include adding new test cases to verify the correct rendering of contour plots with logarithmic scales and extensions, fixing an issue with the extension handling for log scale colorbars. The user also updated existing test code to use a compatible image test and conforming to PEP8 style, thus, improving the maintainability of the test suite.
pythondata-sciencegtkdata-visualizationplotting
JelsB/wuuurms
Dec 2023 - Dec 2024
Contributions:24 pushes, 3 branches in 1 year
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