Jean Jacquemier
Ingénieur De Recherche at CNRS
Sillingy, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolJean Jacquemier is an Ingénieur de Recherche with 10+ years building high-performance C/C++ and Python systems for research and scientific computing, currently working at CNRS after four years at EPFL’s Blue Brain Project. He has deep experience in low-level data pipelines for physics and astrophysics (including contributions to the CTA ctapipe project) and a track record of optimizing code for CPU and cache performance while providing Python bindings for C++ algorithms. Comfortable leading teams and processes, he has served as Scrum Master and IT manager, blending agile facilitation with hands-on engineering. Based in Sillingy, France, he pairs practical production expertise with academic rigor from a Computer Science degree at the University of Brighton and an unusual focus on both detector reconstruction and software serialization for scientific formats like FITS.
10 years of coding experience
26 years of employment as a software developer
English, English at 1to1progressBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of BrightonIUT Annecy-Le-Vieux GEII, Conputer science, IUT Annecy-Le-Vieux GEII, Conputer science at Université Savoie Mont Blanc
English, French
Stackoverflow
191reputation
6kreached
2answers
8questions
Github Skills (20)
python10
configuration-management10
fileio10
file-processing10
file-handling10
file-access10
command-line-arguments9
argument-parsing9
command-line-parser9
fits8
apache-arrow6
overriding6
cgal6
subtype6
numpy6
Programming languages (5)
Github contributions (5)
cta-observatory/ctapipe
Jul 2015 - Oct 2017
Low-level data processing pipeline software for CTAO or similar arrays of Imaging Atmospheric Cherenkov Telescopes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:235 commits, 84 PRs, 85 pushes in 2 years 3 months
Contributions summary:Jean implemented a configuration service, including the creation of a Configuration class with methods for parsing command-line arguments and reading and writing configuration data to various formats like INI and FITS files. They introduced a serializer for converting configuration settings to different file formats. The contributions involved refactoring and code cleaning to improve code quality and maintainability.
arraypipelinedata-processingprocessing-pipelineastronomy
cta-lapp/ctapipe
May 2017 - Jul 2018
Contributions:5 PRs, 25 pushes, 9 branches in 1 year 2 months
ctalapppythonpipeline
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