Summary
Patrick Jayet is a tech lead specializing in computer vision, AI and geospatial solutions with 11+ years of experience building production-grade ML systems from research prototypes to deployed services. Based at AXA Research Engineering in Lausanne/Zürich, he leads teams that combine satellite/aerial imagery, GIS data and deep learning to automate vulnerability, fraud and catastrophe insight pipelines while also shaping ML infrastructure and cloud/on-prem GPU strategies. An ETH CS alumnus and polyglot engineer (Python, Java, Scala, JS, Swift), he pairs hands-on model development (PyTorch/TensorFlow) with software architecture and agile delivery. He routinely translates business problems into scoped R&D and commercial initiatives, supervises academic collaborations, and runs creative workshops to surface high-impact ML use cases. Less obvious: his background spans low-level system tooling, mobile and web engineering as well as earlier work in static analysis and DSLs, giving him a rare cross-stack perspective on deploying reliable, interpretable computer vision in regulated enterprises.
11 years of coding experience
15 years of employment as a software developer
MSc. in Computer Science, Major in distributed systems, minor in artificial intelligence, MSc. in Computer Science, Major in distributed systems, minor in artificial intelligence at Eidgenössische Technische Hochschule Zürich
Federal Maturity type C (science), Federal Maturity type C (science) at Gymnase du Bugnon
Chemistry (discontinued), Chemistry (discontinued) at Ecole polytechnique fédérale de Lausanne
French, English, German, Spanish