Michaël Karpe is a Senior Data Scientist based in Luxembourg with nine years of experience delivering AI and ML solutions for financial services. He has progressed from quantitative development to machine learning science and now leads data science initiatives at Spuerkeess, applying production-grade models to banking problems. Trained at École des Ponts ParisTech and UC Berkeley (MEng), he blends rigorous engineering with academic depth to tackle risk, asset management, and retirement savings use cases. Known for end-to-end deployments since 2018, he pairs quantitative modeling with software engineering practices to move prototypes into production. Colleagues value his ability to translate complex financial constraints into robust, auditable ML systems.
9 years of coding experience
5 years of employment as a software developer
Master of Engineering (MEng), Master of Engineering (MEng) at University of California, Berkeley
Diplôme d'Ingénieur (MSc), Diplôme d'Ingénieur (MSc) at École des Ponts ParisTech
Classe Préparatoire aux Grandes Écoles (CPGE), Classe Préparatoire aux Grandes Écoles (CPGE) at Aux Lazaristes
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