Sylwester Klocek is a Senior Applied Scientist based in Seattle with 11 years of experience bridging theoretical computer science and production deep learning. At Microsoft he leads a deep-learning team that shipped the first DL-powered global precipitation nowcasting model, materially increasing daily active usage for the main weather team. His work spans research and productization—contributions to Neural Implicit Representation breakthroughs sit alongside hands-on delivery of generative AI solutions from prototype to market. Comfortable with both rigorous math and full-stack engineering, he has a history of driving impact in security, real-time systems, and large-scale ML deployments. Colleagues describe him as a pragmatic innovator who turns advanced theory into measurable business outcomes.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Theoretical Computer Science, Master's degree, Theoretical Computer Science at Jagiellonian University
Bachelor's degree, Theoretical Computer Science, Bachelor's degree, Theoretical Computer Science at Uniwersytet Jagielloński w Krakowie
Contributions:27 commits, 24 pushes, 1 branch in 17 days
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Sylwester Klocek - Senior Applied Scientist at Microsoft