Summary
Cyriac Azefack is a Machine Learning Engineer with a PhD and a decade of experience turning research-grade algorithms into reliable production systems across logistics, luxury retail, and healthcare. He has driven measurable business impact—reducing fleet costs by 7%, improving delivery performance by 15%, and increasing client revenue by €2M—while industrializing ML workflows with containerization, versioning, and orchestration. Comfortable leading cross-disciplinary teams, he has shipped both traditional and generative AI products for CRM, HR, marketing and product design at major firms like Richemont and Parfums Christian Dior. His background in operations research and healthcare ML gives him a rare combo of optimization expertise and applied sensor/behavior modeling, plus a track record of publishing academic work that informed deployed solutions. Based in Geneva, he blends rigorous academic training with hands-on software engineering to deliver scalable, reproducible ML in production.
10 years of coding experience
10 years of employment as a software developer
Diplôme d'ingénieur Ingénierie informatique, Diplôme d'ingénieur Ingénierie informatique at IMT Atlantique
PhD Machine Learning & Healthcare, PhD Machine Learning & Healthcare at École des Mines de Saint-Étienne
CPGE Classes Préparatoires aux Grandes Ecoles filière Physique & Technologies, CPGE Classes Préparatoires aux Grandes Ecoles filière Physique & Technologies at Lycée Blaise Pascal Rouen
English, French