Summary
Guilhem Tenet is a PhD student and deep learning engineer with 11 years of hands-on experience bridging computer vision, interferometry and applied electromagnetism to study shock waves and material properties. He combines academic rigor from Toulouse INP with industrial pragmatism developed across roles in research labs and field engineering—from automating aircraft refueling vision systems to building a 3D optical tool for welding torch motion. Comfortable with end-to-end projects, Guilhem designs experiments, implements image-processing and deep learning pipelines, and integrates hardware and PLC-driven systems. His background in boilermaking and mechatronics gives him a rare practical intuition for hardware constraints that shapes robust ML solutions. An avid triathlete, he applies disciplined, goal-oriented training methods to research milestones and software deliverables. Based in Occitanie, France, he focuses on impactful, societally relevant projects that turn complex physical measurements into actionable models.
11 years of coding experience
1 year of employment as a software developer
HND in industrial boiler making and design, Industrial drafting and product design, 14,2, HND in industrial boiler making and design, Industrial drafting and product design, 14,2 at Lycée La Decouverte Decazeville
Classes préparatoires aux grandes écoles (CPGE ATS), ENGINEERING, Classes préparatoires aux grandes écoles (CPGE ATS), ENGINEERING at Lycée Louis Rascol
PhD student, Electromagnetism and microwave engineering, PhD student, Electromagnetism and microwave engineering at Toulouse INP
Industrial boilermaking technician vocational baccalaureate, Industrial boilermaking technician vocational baccalaureate at Lycée Jean Dupuy
Engineering degree, Mechatronics, robotics and automation engineering, Engineering degree, Mechatronics, robotics and automation engineering at Ecole Supérieure des Technologies Industrielles Avancées