Summary
Geoffrey Delhomme is a Lead Data Scientist based in Bordeaux with eight years of experience building and operationalizing AI and simulation systems for aerospace and defense. He has progressed from flight-control R&D and simulation engineering to designing production-grade computer vision models, MLOps pipelines, and trustworthiness practices at Airbus and now Thales. Geoffrey combines deep domain expertise in avionics (A429, AFDX, CAN, MIL‑STD‑1553) and control-law design with hands-on skills in AWS, Kubernetes, robustness, and explainability to deliver reliable, certifiable AI. He led a national Confiance.ai project stream on trustworthy AI, translating research into governed industrial deployments. Colleagues know him for bridging real‑time simulation constraints and modern ML lifecycles—bringing safety-first thinking to scalable AI systems.
7 years of coding experience
11 years of employment as a software developer
Diplôme d'ingénieur, Advanced Control Laws Design, Diplôme d'ingénieur, Advanced Control Laws Design at Grenoble INP Esisar
French, English, Polish, German, Spanish