Summary
meignen sylvain is a Vision AI Robotics Engineer with eight years of experience building computer vision and embedded solutions for medical and industrial applications. He has moved from academic R&D—winning the MICCAI 2021 Heisurf segmentation challenge and publishing on laparoscopic multi-camera stitching—to productionizing inspection and calibration systems on battery cell pilot lines. Comfortable across C++, Python, FPGA/HLS and deep learning stacks, he bridges algorithm research and hands-on deployment (line-scan cameras, RoI, OPC UA). At Innodura he now applies that cross-domain expertise to industrial vision and robotics projects, improving reliability in real-world constrained systems. Not obviously, his background includes prototyping panoptic camera hardware and creating Blender-based simulators to benchmark stitching methods, giving him a rare combination of optics/hardware intuition and ML rigor. Based in Lyon, he excels at turning complex vision research into robust, manufacturable systems.
8 years of coding experience
5 years of employment as a software developer
Master of Science in Informatics M2 GVR (Graphics Vision and Robotics), Master of Science in Informatics M2 GVR (Graphics Vision and Robotics) at National School of Computer Science and Applied Mathematics of Grenoble
Engineering degree Embedded systems and softwares, Engineering degree Embedded systems and softwares at Grenoble INP - Phelma
Baccalauréat Scientifique spécialité Mathématique mention européenne Allemand, Baccalauréat Scientifique spécialité Mathématique mention européenne Allemand at Lycée Saint-Joseph (85)
Classes Préparatoires scientifiques MPSI/MP, Classes Préparatoires scientifiques MPSI/MP at Lycée StJoseph (SupStJo/StLouis) (85)
French, English, German