Christophe Kumsta is a Computer Vision Specialist at MAF RODA AGROBOTIC since October 2025, focusing on high-performance computer architecture and AI algorithms, hardware selection, software architecture contributions, and the development of new AI vision components, while also managing electronic R&D in the USA. Prior to this role, Christophe served as R&D Computer Vision System at MAF INDUSTRIES from January 2009 to September 2025, developing systems and sensors for grading fruit and vegetable quality. Early career highlights include the position of R&D software manager at M2Msoft, engaging in product development in the VoIP domain from July 2005 to December 2008, and a previous role in R&D Computer Vision within the agricultural industry at MAF RODA AGROBOTIC from March 1998 to June 2005. Educational qualifications include degrees in Informatics and Electronics from Université Paul Sabatier, and a BTS in Electronics from Lycée Bernard Palissy. Various professional development courses were completed through EDX, Coursera, and Udacity.
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