Benjamin Yvernault
Innovation & Advocacy
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolBenjamin Yvernault is an experienced software engineer and technical leader with 12 years of practice bridging medical image-processing research and full-stack web/DevOps engineering. Trained in computer science and image processing at CPE Lyon, he built high-throughput neuroimaging pipelines (notably contributing backend interfaces to the widely used Nipype project) and led XNAT/DAX deployments at Vanderbilt and UCL that processed tens of thousands of imaging sessions. More recently he transitioned to enterprise Java and microservices at Mirakl—leading a squad, driving database migrations, Kafka integrations and performance optimizations—before returning to Takima to shape developer best practices, Kubernetes/GitOps migration and people-first management. He combines deep domain knowledge in scientific computing with pragmatic production experience in cloud-native systems, mentoring managers and engineers alike. A global traveler who deliberately stepped back to reorient his career, he brings curiosity and a user-focused mindset to technical strategy and operational execution.
12 years of coding experience
9 years of employment as a software developer
Master's degree, Computer science and Image processing, Master's degree, Computer science and Image processing at Ecole supérieure de Chimie Physique Electronique de Lyon / CPE Lyon
English, German, French
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (5)
python10
neuroimaging10
material-ui6
react-testing-library6
react6
Programming languages (6)
Github contributions (5)
nipy/nipype
Mar 2017 - Jun 2017
Workflows and interfaces for neuroimaging packages
Role in this project:
Backend Developer
Backend DeveloperContributions:60 commits, 11 PRs, 58 comments in 3 months
Contributions summary:Benjamin's initial commit introduces interfaces related to the NiftyFit library, specifically focusing on the `dwi` module. They are responsible for setting up the interfaces for the `fit_dwi` and `dwi_tool` commands, including defining input and output specifications. The user adds methods options and output options.
workflowneuroimagingpythondata-scienceworkflow-engine
yvbro/ReXA
Sep 2019 - Apr 2020
REporting Xnat App
Contributions:10 PRs, 52 pushes, 12 branches in 6 months
xnatreporting
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