Speakers
Thomas Prelle, Tech Architect, Ubisoft
Thomas is a Technical Architect at Ubisoft, specializing in large-scale data engineering, analytics, and AI-driven developer tools. Over the past several years, Thomas has architected the implementation of core data and DevOps infrastructure that powers insights and decision-making across Ubisoft's worldwide studios. Most recently, Thomas was the technical lead on DocGPT—Ubisoft's secure, in-house AI knowledge assistant—bringing generative AI to the heart of the studio's development workflows. From integrating scattered sources like Jira, Confluence, Perforce, and playtest reviews, to deploying highly secure, domain-aware retrieval pipelines, Thomas helped make knowledge more accessible for thousands of game developers every day. Prior to this, Thomas worked on Ubisoft's global analytics and machine learning platform, delivering scalable event-driven architectures and deploying AI-powered features directly inside game engines. A strong advocate of combining DevOps discipline with machine learning and data engineering best practices, Thomas leverages tools like Kubernetes, ArgoCD, Spark, and Databricks to make scalable, production-grade solutions a reality. Thomas holds a PhD in Applied Mathematics from IRRCyN (Nantes) and an engineering degree in Computer Science and Mathematics from Mines de Nantes.