Taras Klaskouski is a software engineer with 14 years of experience, currently building scalable systems at Google Sweden. He has a strong background in back-end development and data/ML infrastructure from internships at Facebook and Yandex and formal training at Yandex School of Data Analysis. Taras contributes to notable open-source tooling—most prominently improving exporters and dynamic-graph support in the Gephi visualization platform—demonstrating attention to data fidelity and parser robustness. His early work spans C++/VTK/Qt simulation for medical imaging to Python-based ML projects, reflecting a breadth across low-level systems and higher-level data workflows. Based in the Stockholm metro area, he combines production-scale engineering with an academic foundation from Belarusian State University and a penchant for pragmatic, data-aware solutions.
14 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Belarusian State University
Computer Science, Computer Science at Yandex School of Data Analysis
Contributions summary:Taras primarily focused on enhancing the VNA exporter within the Gephi graph visualization platform. Their work included adding support for dynamic attributes and fixing parser issues related to punctuation. They also integrated features for exporting dynamic edge weights, ensuring the exported data accurately reflects the graph's evolving state. Additionally, the user implemented various improvements to the GML exporter, correcting issues related to dynamic graphs and improving data formatting.
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