Antoine Frau is a Founding Applied AI Engineer with a decade of full-stack and machine learning experience, currently building large-scale evaluation and experimentation infrastructure for AI agents. He combines hands-on Python backend engineering (FastAPI, Celery, Docker) with frontend work in Next.js to deliver end-to-end LLM pipelines—from UI to observability and performance metrics. At Kerno and as a consultant he designed production-grade experiment platforms, pluggable evaluators (including LLM-as-judge), and OpenTelemetry-driven traceability integrated with Langfuse. His background spans academic research (PhD-level work on AI-assisted education) to shipping resilient ML workflows in production, including autonomous code-review bots and self-healing test automation. Based in Ajaccio, Corsica, he brings a rare blend of rigorous evaluation methodology and pragmatic system design that tightens developer feedback loops and reduces hallucinations in LLM-driven systems. Known jokingly as a "Ninja Developer," he focuses on measurable improvements and observability to iterate AI agents reliably at scale.
10 years of coding experience
4 years of employment as a software developer
Doctorat Informatique, Doctorat Informatique at Université de Montréal
Master en informatique Informatique, Master en informatique Informatique at UQAM | Université du Québec à Montréal
Master en informatique Informatique, Master en informatique Informatique at Université de Corse Pascal Paoli
BTS Système informatique aux Organisation Informatique, BTS Système informatique aux Organisation Informatique at Lycée Laëtitia Bonaparte
TP video game website with login / signup, dashboard admin, and some games..
Contributions:1 PR, 3 pushes, 1 branch in 5 years 4 months
bulmaexpresslowdbvuejsvuex-store
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Antoine Frau - Founding Applied AI Engineer at Zenocode