Alexandre Cazé is a software engineer with 11 years of experience building simple, robust data pipelines that power production ML models and business analytics. He has progressed from academic research in physics and quantum optics to industry roles leading data teams and shipping pragmatic ML solutions at companies like ManoMano, finfrog, folk, and now Joko. Comfortable bridging research, product and engineering, he designs pipelines and algorithms that prioritize reliability and operational simplicity over novelty. His background includes a PhD in Physics and teaching at the University of Michigan, which informs a rigorous, experiment-driven approach to problem solving. Colleagues benefit from his ability to translate business needs into production-ready data systems and to mentor teams through the full lifecycle from ideation to deployment. An unexpected facet: he trained in acting at Cours Florent, bringing communication and storytelling skills to technical leadership.
11 years of coding experience
10 years of employment as a software developer
Engineer's Degree, Option Physique et Applications, Engineer's Degree, Option Physique et Applications at Ecole Centrale Paris
Acting school, Acting school at Cours Florent
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Université Pierre et Marie Curie (Paris VI)
Contributions:2 PRs, 13 pushes, 3 branches in 7 months
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