Rafael Kaufmann is a Chief AI Scientist and decision-science researcher with two decades of experience spanning AI, computational statistics, economics and systems engineering, currently building a living neurosymbolic world model of the investable universe at Primordia. He combines deep quantitative training (MSc in Mathematics) with product and operational leadership from roles at Google and as CTO and founder in multiple startups, where he shipped high-scale, demand-forecasting and marketplace systems. Rafael’s background includes published Bayesian economic models and practical Lean Startup execution—he has built scalable back ends that multiplex thousands of real-time requests and adaptive supplier-rating systems. Based in Lisbon, he brings a rare mix of academic rigor and hands-on engineering, translating complex probabilistic models into production-ready decision systems. A detail that often surprises collaborators: he has led public-sector economic modeling and reverse-auction design that achieved measurable cost reductions, highlighting his ability to deliver impact beyond pure research.
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