Summary
Killian Kaempf is a software engineer with 11 years of experience and a Data Science MSc from ETH Zürich, currently working on Google’s cloud Anti–Money–Laundering team. His background spans applied ML, cloud-native systems and distributed infrastructure, with internships and research stints at MongoDB, UC Berkeley and Carnegie Mellon enriching both practical and academic perspectives. He began in embedded and communications engineering (EPFL) and has shipped production services, Kubernetes contributions, and research-grade prototypes — a blend that helps him move models from research to reliable cloud deployments. Outside of tech he reads broadly, visits art galleries and plays competitive basketball, reflecting a curiosity-driven approach that informs creative problem solving.
11 years of coding experience
4 years of employment as a software developer
Maturité technique, General Studies, Maturité technique, General Studies at CEJEF - Division technique
CFC - Certificate of capacity, Computer Science, CFC - Certificate of capacity, Computer Science at Ecole des Métiers Techniques (Technical school)
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Ecole polytechnique fédérale de Lausanne
Electrical, Electronics and Communications Engineering, Electrical, Electronics and Communications Engineering at Carnegie Mellon University
Master's degree, Data Science, Master's degree, Data Science at ETH Zürich
French, English, German