Summary
Guillaume Erhard is a Senior Data Scientist and deep learning engineer based in Strasbourg with nine years of experience specializing in computer vision for geospatial and street-level imagery. He has led end-to-end pipelines at namR to extract and label nationwide street and aerial imagery, training classification, segmentation and detection models and building tooling for proprietary visual-text datasets aimed at internationalization. At Hyperplan he now applies that expertise to production data science challenges, bringing practical MVP experience and a strong background in benchmarking labeling ecosystems. His earlier work includes satellite radar applications for oceanic phenomenon detection and ADAS testing modules, reflecting a breadth from embedded systems to large-scale image analytics. Trained in imaging, robotics and signal processing, he combines research-grade methods with hands-on pipeline engineering and a knack for turning terabytes of unconventional imagery into actionable ML products.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science in Mechatronics engineering Mechatronics Robotics Mechanical Engineering Electronical Engineering, Bachelor of Science in Mechatronics engineering Mechatronics Robotics Mechanical Engineering Electronical Engineering at University of Strasbourg
Bachelor of Science in Physics and Chemistry Mechalnical Engineering Algebra Chemistry, Bachelor of Science in Physics and Chemistry Mechalnical Engineering Algebra Chemistry at Université de Haute-Alsace Mulhouse-Colmar
Master of Imaging Robotics and Biomedical Engineering Computer vision Statistic and Signal processing, Master of Imaging Robotics and Biomedical Engineering Computer vision Statistic and Signal processing at Télécom Physique Strasbourg
French, German, English