Summary
Guillaume Etevenard is an AI Engineer with nine years of experience building and industrializing machine learning and agentic systems across telecom, pharma, and sustainability products. He combines hands-on MLOps and platform design—Kubeflow, GCP—and has led technical migrations, presales, and roadmaps for enterprise AI offerings. As an educator at Université Côte d’Azur he teaches AI industrialization best practices, reflecting a talent for translating research and tooling into production-ready solutions. Early work in web audio and web components shows a creative streak in audio tooling for the browser, pairing signal-focused experimentation with large-scale ML delivery. Based in the Greater Nice area, he blends academic depth with pragmatic consulting and delivery experience, often operating at the intersection of data, platforms, and explainability.
9 years of coding experience
10 years of employment as a software developer
Licence Informatique et gestion, Licence Informatique et gestion at Université Côte d'Azur
Licence Mathématiques appliquées, Licence Mathématiques appliquées at Polytech'Nice-Sophia
Master's degree Data Science & business intelligence, Master's degree Data Science & business intelligence at Miage Nice Sophia Antipolis
French, English, German, Spanish