Summary
Bertrand Benoit is a Principal AI Systems Architect based in Vannes, France, with 15 years of hands-on experience building production-grade, cloud-native software and AI-first platforms. He designs and implements multi-agent orchestration, agent skills frameworks, and integration strategies that reduce LLM hallucination risk and turn institutional knowledge into version-controlled AI capabilities. At Kairo and previously at Ubeeko he led architecture for intelligent document editing, autonomous task workflows, and an educational ML platform (HFactory) used by top French institutions. He combines deep prompt engineering and model integrations (OpenAI, Anthropic, Gemini, Mistral) with pragmatic engineering—Kubernetes, Supabase, Spark, MLflow and robust CI/CD—to ship reliable, auditable systems. Not obvious from titles: he repeatedly bridges research and product, moving ideas from academic-grade AI prototypes into scalable, regulated enterprise and edtech deployments.
16 years of coding experience
19 years of employment as a software developer
Master degree in Artificial Intelligence, Master degree in Artificial Intelligence at Université Henri Poincaré, Nancy 1
PCSI + PSI*, PCSI + PSI* at Preparatory classes for top French Engineering Schools at Lycée Henry Loritz – Nancy, France
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Lycée Henry Loritz – Nancy, France
Master degree in Software Engineering, Master degree in Software Engineering at Université de Lorraine - Nancy, France
TOEIC, TOEIC at Wall Street English - Nancy, France
French, English