Scott Mckuen is a seasoned data engineer and technical leader with over 25 years of experience designing and operating back-end systems, data infrastructure, and ML platforms across finance, advertising, and music. He has led transformational efforts at scale—most recently converting Nubank’s AI productivity tools into a product-oriented shared AI platform and delivering streaming analytics and real-time decision infrastructure for credit and fraud. His background includes building distributed time-series systems and production research environments that multiplied capacity by 100x and supported quantitative trading with over $100M AUM. Scott pairs hands-on engineering (from databases and schedulers to domain-specific workflow languages) with people leadership, growing teams and elevating data groups to peer infrastructure orgs. Based in the Twin Cities, he also pursues public-facing technical education—launching a quantum-circuit simulator for learners and reviving local quantum meetups. That blend of pragmatic production focus and curiosity about emerging tech underpins his work as a consultant and current data-engineering lead.
4 years of coding experience
10 years of employment as a software developer
MS Mathematics, MS Mathematics at University of Illinois Urbana-Champaign
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