Arnaud Gelas
GenAI & AgenticAI CoE Lead C&CA Europe at Blue Harvest
Lausanne Metropolitan Area Switzerland
Summary
🤩
Rockstar🎓
Top SchoolArnaud Gelas is a seasoned AI and engineering leader with nearly two decades of experience building and scaling research-driven software teams across Europe and academia. Currently leading GenAI & AgenticAI at Capgemini C&CA Europe and serving as Head of Engineering at Blue Harvest, he blends strategic AI transformation with hands-on DevSecOps and R&D delivery. His background spans biomedical imaging, geometry processing and robotics, with core open-source contributions to flagship projects like ITK and quality improvements in the widely-used PyTorch Lightning ecosystem. He holds advanced degrees in signal and image processing and has led cross-disciplinary teams at institutions from Harvard Medical School to industrial innovators like Dassault Systèmes and senseFly. Known for turning academic research into production-grade systems, he often focuses on reproducibility, documentation quality and automated testing—subtleties reflected in his commits fixing LaTeX/doxygen and test formatting across large repos. Based in the Lausanne area, he combines deep technical rigor with practical leadership in AI productization.
17 years of coding experience
18 years of employment as a software developer
Management, Management at Harvard UniversityPhD Signal Image Processing Shape Modeling, PhD Signal Image Processing Shape Modeling at INSA Lyon - Institut National des Sciences Appliquées de LyonPh.D. Computer Science - Computer Graphics, Ph.D. Computer Science - Computer Graphics at Keio University
French, English, German, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
doxygen10
pytorch10
machine-learning10
latex10
c-language10
artificial-intelligence10
isort10
deep-learning10
cprogramming-language10
pytest10
python10
ai10
data-science10
documentation10
testing10
Programming languages (10)
Github contributions (5)
InsightSoftwareConsortium/ITK
Jun 2008 - Oct 2015
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Role in this project:
Backend Developer
Backend DeveloperContributions:732 commits in 7 years 4 months
Contributions summary:Arnaud primarily focused on fixing doxygen warnings related to incorrect formula and function definitions within the ITK library's source code. These commits involved correcting LaTeX syntax for mathematical formulas to ensure proper rendering in documentation. They also addressed issues such as inconsistent use of parentheses and scope of variables. These contributions focused primarily on improving the documentation quality of the library.
pythonitkcomputer-visionopen-sciencescientific
Lightning-AI/pytorch-lightning
Jan 2021 - Jan 2021
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 reviews, 21 commits, 31 PRs in 20 days
Contributions summary:Arnaud primarily contributed to improving the quality and maintainability of the `pytorch-lightning` repository by addressing pre-commit isort failures across various test directories. They removed skipped modules from `pyproject.toml` and fixed isort formatting issues, ensuring code style compliance. The commits involved modifications to numerous test files within directories like `tests/utilities`, `tests/checkpointing`, `tests/plugins`, `tests/metrics`, `tests/trainer`, `tests/models`, `tests/callbacks`, `tests/loggers`, `tests/backends`, and `tests/base`, demonstrating a broad focus on testing across the project.
pythonheadachespytorch-modelsdata-sciencehandling
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.