Jean-baptiste聽Vimort
Software Team Manager at Gauzy Safety Tech
Lyon, Auvergne-Rh么ne-Alpes, France
Summary
馃懁
Senior馃帗
Top SchoolJean-baptiste Vimort is a software team manager and computer vision specialist with a decade of experience building real-time, embedded ADAS solutions for commercial vehicles. Based in Lyon, he progressed from research and medical imaging internships to leading CV feature development and integration at Gauzy Safety Tech, focusing on pedestrian and blind-spot detection running in C/C++ on NVIDIA-class platforms. He pairs hands-on algorithm design and hardware/software optimization with Agile product ownership, having coordinated multi-continent programs and delivered sub-degree accuracy vision algorithms for trailer-angle estimation. Known for mentoring engineers and driving cross-functional demos and client engagements, he blends technical depth in embedded vision with practical delivery and team leadership. An early contributor to open-source medical imaging tools, he brings a research-informed approach to robust, safety-critical systems.
10 years of coding experience
5 years of employment as a software developer
Master鈥檚 Degree, Electronics - Telecommunications - Computer science (major: Image and algorithm), Master鈥檚 Degree, Electronics - Telecommunications - Computer science (major: Image and algorithm) at CPE LyonMaths and Physics specialisation (MP), Maths and Physics specialisation (MP) at Preparatory classes to CPE Lyon - Charteux Institution
French, English, Spanish
Github Skills (70)
python10
image-processing10
topological-data-analysis10
medical-imaging10
cpp10
image-analysis10
qt10
scikit-build10
computed-tomography10
least-squares10
obj10
open-science10
slicer10
cross-platform10
n-dimensional10
Programming languages (4)
Github contributions (5)
jbvimort/Slicer
Oct 2015 - Nov 2017
Contributions:39 pushes, 6 branches in 2 years 1 month
pythonmulti-platformimage-processingcomputingopen-source-software
Kitware/BoneTextureExtension
Mar 2017 - Dec 2017
Slicer extensions for computing feature maps of N-Dimensional images using well-known texture analysis methods.
Contributions:53 commits, 64 pushes, 8 branches in 9 months
pythonkitwaren-dimensionalextensionsdimensional-images
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