Félix-antoine Fortin
Director Of Software Development at Calcul Québec
Canada
Summary
🤩
Rockstar🎓
Top SchoolFélix-Antoine Fortin is a Director of Software Development with 16 years of experience leading HPC and research software teams at Calcul Québec and Université Laval. He combines technical leadership with hands-on engineering—authoring cloud-ready HPC tools like Magic Castle and contributing full-stack improvements to notable open-source projects such as jupyter-server-proxy. His background spans user support, developer outreach, and teaching Python, R, Spark and high-performance computing to diverse audiences, helping bridge academic research and production environments. Félix-Antoine has a strong documentation and quality mindset demonstrated by contributions to scikit-learn docs, and he regularly modernizes developer workflows through tooling like jupyter-lmod and slurmformspawner. Based in Canada, he pairs academic training (MSc, partial PhD) with practical delivery of scalable, reproducible compute platforms. Colleagues value his ability to translate complex HPC systems into accessible services and to grow teams that serve both traditional and non-traditional users.
16 years of coding experience
4 years of employment as a software developer
PhD (uncompleted), PhD (uncompleted) at Université Laval
Stackoverflow
1,163reputation
67kreached
11answers
0questions
Github Skills (22)
restructuredtext10
python10
jupyter10
rs10
proxy10
documentation10
jupyterhub9
javascript8
optimization6
covariance6
matrix6
evolutionary-algorithms6
apache-spark6
algorithm6
genetic-algorithm6
Programming languages (15)
Github contributions (5)
jupyterhub/jupyter-server-proxy
Apr 2020 - Aug 2022
Jupyter notebook server extension to proxy web services.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:16 commits, 10 PRs, 14 comments in 2 years 4 months
Contributions summary:Félix-antoine contributed to both the front-end and back-end aspects of the `jupyter-server-proxy` project. Their work included refactoring the JupyterLab interface, adding functionality to open proxied servers within JupyterLab tabs, and updating the configuration options for server processes. The user also made changes to the server-side Python configuration to support new features. They improved the user experience by enhancing the JupyterLab integration.
pythonproxyjupyter-notebooknotebookweb-services
scikit-learn/scikit-learn
Sep 2011 - Oct 2014
scikit-learn: machine learning in Python
Role in this project:Technical Writer
Technical WriterContributions:6 commits in 3 years 1 month
Contributions summary:Félix-antoine primarily contributed to improving documentation within the scikit-learn repository. Their work involved correcting package names in installation instructions, fixing a docstring in a metrics module, and correcting mathematical markup in example files. These changes aimed to enhance the clarity, accuracy, and usability of the documentation for developers and users of the machine learning library. The commits reveal a focus on maintaining the quality and readability of the project's documentation.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
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