Štěpán Šimsa is a Staff AI Research Engineer with 14 years of experience bridging rigorous ML research and production-grade engineering, currently driving proprietary model development and process improvements at Rossum in Prague. He moves fluidly between hands-on model building, roadmap and project leadership, and people enablement—recently serving as Interim Engineering Manager while remaining deeply technical. His background spans self-driving HD mapping at Woven Planet/Lyft and internships at Google and IST Austria, where his work contributed to a Nature paper on evolutionary game theory. A former IMO and IOI medalist and ACM ICPC World Finals silver medalist, he pairs strong mathematical rigor with practical system design, often focusing on whether architectural changes or more data yield the highest customer impact. He is known for clear communication, improving team workflows, and a habit of extracting non-obvious signal from complex systems.
14 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Charles University in Prague
DocILE: Document Information Localization and Extraction Benchmark
Contributions:7 releases, 16 reviews, 71 commits in 4 months
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Štěpán Šimsa - Interim Engineering Manager at Rossum