Summary
David Youssefi is an image-processing engineer with 10 years' experience specializing in optical remote sensing and space photogrammetry, currently driving the development of CARS and the 3D processing chain for CNES's CO3D project in co‑engineering with Airbus DS. He combines hands-on algorithm development (C++, Python, OTB) and product ownership—acting as Proxy Product Owner for the industrial 3D chain—while coordinating 3D R&T, theses and internships within CNES’s Campus de la Donnée. His background spans satellite image resampling tools (ORION), high-resolution Pléiades algorithmic software, and practical calibration/processing work dating back to early internships at Thales Alenia Space. Based in Toulouse, he blends research-driven methods with delivery responsibility, including contractual, budgetary and system‑review interfaces, making him both a technical lead and a pragmatic project steward. An implicit strength is his sustained commitment to open collaboration—leading an active open-source project (CARS) that underpins CNES’s operational and research pipelines.
10 years of coding experience
Diplôme d'ingénieur, Ingénierie électrique et électronique, Mention Bien, Diplôme d'ingénieur, Ingénierie électrique et électronique, Mention Bien at Ecole nationale supérieure d'Electronique, Informatique et de Radiocommunications de Bordeaux
CPGE - MPSI/MP, Mathématiques, Physique, CPGE - MPSI/MP, Mathématiques, Physique at Lycée Bellevue
Baccalauréat S, Mathématiques, Baccalauréat S, Mathématiques at Lycée Victor Hugo
English, Spanish