Summary
Yanael Barbier is a software engineer with 11 years’ experience building production-grade infrastructures and real-time machine learning systems, currently serving as a core team member in London. He has a strong track record in platform engineering, MLOps and event-driven architectures, having brought ML models into production at Sprout.ai and built scalable data pipelines for high-throughput analytics. Comfortable across Python, Kubernetes, Kubeflow, Nvidia Triton and cloud-native tooling, he blends backend engineering with data engineering to ship end-to-end claims automation and compliance-focused on-prem integrations. Yanael favors product-driven environments and has repeatedly taken ownership of data flow design, from OCR-driven parsers to dataset tracking frameworks that improve collaboration with data scientists. Less obvious: he pairs hands-on system building with growth-oriented thinking learned early in his career, enabling features that boost conversion and operational effectiveness.
11 years of coding experience
9 years of employment as a software developer
BTS SIO Technical degree in Software Development, BTS SIO Technical degree in Software Development at Lycée Louise Michel
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42 Paris
Baccalauréat professionnel Système Electronique Numérique Option Télécom Réseaux, Baccalauréat professionnel Système Electronique Numérique Option Télécom Réseaux at Lycée Marius Bouvier, Tournon sur Rhône