Filip Sivák is a VFX R&D engineer and computer vision specialist based in Prague with 12 years of experience bridging web, big data and visual computing. He designs and implements production-ready deep learning architectures and scalable Apache Spark pipelines for large image datasets, and moves fluidly between low-level tooling and high-level research prototypes. At UPP he develops realtime visual effects for next‑generation film, applying practical engineering to cutting‑edge magick. His background spans Java EE/Liferay development, R-based data science and Spark engineering from his time at Profinit, giving him a rare full-stack data-science-to-deployment perspective. Trained in digital imaging and software technology at Czech Technical University, he combines academic grounding with hands-on production experience. Colleagues rely on him for solving obscure infrastructure issues as easily as architecting models for massive image collections.
12 years of coding experience
4 years of employment as a software developer
Inženýr (Ing.), Prepress/Desktop Publishing and Digital Imaging Design, Inženýr (Ing.), Prepress/Desktop Publishing and Digital Imaging Design at Faculty of Electrical Engineering, Czech Technical University in Prague
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