Summary
Ton Regàs is a Data Lead with eight years of experience building ML-driven data platforms and production-grade test data solutions, currently leading data efforts at Papaya Dash from Barcelona. He helped shape Synthesized’s synthetic test-data and TDM offerings as a Solutions Architect and Machine Learning Engineer, bridging DevOps and QA with API-driven, privacy-compliant pipelines. His background spans fintech decisioning (credit, fraud, churn) and engineering roles where he applied Python, SQL, PL/SQL and data-science tooling to turn messy production signals into actionable models. Ton pairs an MSc in Data Science from Edinburgh with hands-on systems experience dating back to embedded and tooling projects, giving him a rare mix of research-informed modeling and pragmatic platform delivery. A persistent AI/ML enthusiast, he focuses on automating reproducible, privacy-safe data workflows that reduce release friction and uncover missed test cases.
8 years of coding experience
6 years of employment as a software developer
Vienna University of Technology
MSc Data Science, School of Informatics, MSc Data Science, School of Informatics at The University of Edinburgh
High School Diploma, High School Diploma at Escola Betània-Patmos
UPC Universitat Politècnica de Catalunya
BSc in Physics, Physics, BSc in Physics, Physics at Universidad Nacional de Educación a Distancia - U.N.E.D.
Spanish, Catalan, German, English