Björn van Dijkman is an AI Engineer at Adyen, specializing in transforming promising LLM prototypes into reliable production systems. He develops AI applications for payment investigations, customer-facing content generation, and internal commercial support. His work spans retrieval, orchestration, evaluation, and workflow integration, with a strong focus on combining deterministic software engineering with AI to build robust, high-quality systems through rapid feedback loops. Before moving into AI engineering, Björn worked as a Data Engineer in Adyen’s in-person payments team and previously built data platforms and delivered data-driven solutions across multiple industries. He is also an active contributor to the AI community, regularly speaking at developer events and organizing hackathons to share practical lessons from building and operating LLM systems.

Yasmin Levens is an AI Engineer at Adyen, where she builds and deploys LLM-powered applications for production use. Her work focuses on designing reliable AI systems that create measurable business value, with experience spanning retrieval, orchestration, evaluation, and real-world deployment. Before transitioning into AI engineering, Yasmin worked as a Data Engineer at Adyen's In-Person Payments team, building scalable data solutions. She previously collaborated with the Data Science team at Albert Heijn on AI-driven recommendation systems, contributing to research published on the company's technology blog. Passionate about practical AI engineering, Yasmin enjoys sharing lessons learned from building production-grade LLM applications and helping teams bridge the gap between prototypes and enterprise-ready AI systems.