Summary
Alexis Carlier is a tech lead blending eight years of agronomy and software expertise to build precision irrigation and in-field phenotyping solutions for agriculture. Trained as an engineer at ISA Lille and with a PhD focused on wheat yield assessment using organ-scale phenotyping and deep learning, he combines crop modeling, image analysis and data-driven decision tools with hands-on Python, cloud and version-control development. At Osiris Agriculture he leads deployment of a robotic irrigation platform, coordinates agronomic trials and partners to validate innovations, drawing on prior roles managing quality and digital projects at Tereos and Bonduelle. Equally comfortable in the field and behind the code, he has a rare mix of practical farming knowledge and machine learning-driven phenotyping experience that accelerates product adoption in real agricultural contexts.
8 years of coding experience
Agriculture, agribusiness, Agriculture, agribusiness at ISA Lille
Thèse de doctorat, Thèse de doctorat at Gembloux Agro-Bio Tech - Université de Liège
French, English