César Valero is a Senior Data Scientist based in Stockholm with nine years of experience turning AI research into production-grade financial systems, currently building revenue-driving models at SEB. He holds a PhD in Computer Science from KTH and brings a strong research pedigree—30+ papers, 500+ citations, multiple ACM Best Paper awards—and a track record of shipping state-of-the-art open-source tools. His work spans real-time fraud detection with sub-10ms transaction assessments, time-series classification, and end-to-end ML engineering from data pipelines to deployment. A former WASP scholar and educator, he combines rigorous academic methods with hands-on mentoring and teaching across many university courses. Notably, he was one of the first international PhD students in Sweden’s largest research program and has a history of turning academic prototypes into production systems.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at KTH Royal Institute of Technology
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