Didier Dumet is a Data Scientist with a decade of experience and an original background as a telecommunications architect, now focused on applying AI to agriculture and food safety. He has led data collection in the field and built deployed web-service models that predict plant health from NIR spectrometry, soil composition and weather, helping farmers make data-driven decisions. His career bridges large telecom programs and hands-on machine learning, giving him strong skills in system architecture, data pipeline design (including FIWARE), and production-grade deployment. Rigorous about data structuring, versioning and reproducibility, he combines proactivity in researching novel ML algorithms with practical engineering to operationalize them. Comfortable leading small teams and coordinating multi-partner projects, he pairs technical depth with clear project communication. Based in Valbonne, he brings a rare mix of telecom-grade engineering discipline and applied AI impact in agri-tech and sensor-driven food-safety projects.
9 years of coding experience
24 years of employment as a software developer
Master's degree in engineering, Physics, Telecommunications, Master's degree in engineering, Physics, Telecommunications at ESSTIN (Ecole Supérieure des Sciences et Technologies de l'Ingénieur de Nancy)
Contributions:1 PR, 2 pushes, 3 branches in 2 years 9 months
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