Laurent Lessieux
Senior Software Engineer at Woven by Toyota
Tochigi Prefecture, Japan
Summary
🤩
Rockstar🎓
Top SchoolLaurent Lessieux is a senior software engineer with over 25 years of experience specializing in C++, high-performance 3D rendering, and clinical imaging applications, now applying his expertise at Woven by Toyota. He has a strong track record leading full application lifecycles, mentoring teams, and creating reusable middleware libraries that supported international development across EU, US, China, and Japan. Known for deep optimization skills—from assembly and SIMD to OpenCL/CUDA—he earned Canon Medical’s "Technical Master" title in 2024 for technical leadership and delivery. An active contributor to the open-source Webots robot simulator, he fixed subtle numerical issues and improved sensor and streaming stability, reflecting a pragmatic eye for mathematical robustness. Based in Tochigi Prefecture, Japan, he blends hands-on engineering, teaching, and cross-border collaboration to deliver reliable, real-time systems for medical and robotics domains.
9 years of coding experience
29 years of employment as a software developer
Baccalaureat, D / Science - Biologie, Baccalaureat, D / Science - Biologie at Lycee de Borda DaxDESS / ~+Master, Computer Software Engineering / Genie Logiciel, DESS / ~+Master, Computer Software Engineering / Genie Logiciel at Université Bordeaux I
French, English, Japanese, Spanish
Github Skills (16)
simulations10
physics-engine10
mathlib10
robotics-simulation10
c-language10
robotics10
cprogramming-language10
robot-simulator10
math10
math-library10
maths10
3d-engine9
ros9
webots9
autonomous-vehicles8
Programming languages (1)
Github contributions (5)
cyberbotics/webots
Sep 2021 - Oct 2021
Webots Robot Simulator
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 reviews, 5 commits, 7 PRs in 8 days
Contributions summary:Laurent primarily focused on improving the Webots Robot Simulator's core functionality by addressing potential issues related to mathematical calculations and sensor behavior. They fixed crashes related to `acos` function and implemented the `clampedAcos` and `clampedAsin` functions to prevent NaN values. The user added the functionality to retrieve the speed vector from a GPS device and also added improvements to the streaming viewer. These changes improved the stability and enhanced the features of the simulator.
robotics-simulationignitionsdfaccelerationsimulation
llessieux/VRGateway
Jun 2016 - Jul 2016
Contributions:17 commits, 16 pushes, 1 branch in 1 month
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