Jürgen Stary is a Solutions Architect with eight years of focused experience designing, building, and operating cloud-native MLOps and ML systems, currently leading such efforts at DB Systel in Leipzig. He combines a quantitative, data-driven mindset—from years as a quantitative researcher and CTO of multiple startups—with hands-on architecture work across enterprise and startup contexts. Autodidactic and adaptable, he’s led teams as Lead Architect and Principal Data Architect at Alexander Thamm, shaping end-to-end ML stacks and operational practices. Comfortable bridging research, engineering, and product, he excels at turning experimental models into reliable, production-grade services. An uncommon strength is his background in education and economics alongside Tokyo Data Science training, which helps him communicate complex ML concepts to diverse stakeholders.
8 years of coding experience
14 years of employment as a software developer
Ludwig Maximilian University of Munich
Data Science, Data Science at Tokyo Data Science
1. Staatsexamen / Bachelor of Education - BEd, 1. Staatsexamen / Bachelor of Education - BEd at Universität Augsburg
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Jürgen Stary - Solutions Architect at DB Systel GmbH