Jakub Kolář is a combinatorial optimization researcher and polyglot developer with a decade of hands-on experience building practical scheduling and computer vision solutions. Based in Prague, he designs CP models and high-performance heuristics—recently delivering a pipeline that produces synchronized schedules for 1000+ e-commerce orders and cuts time-to-first-feasible solution by an order of magnitude when used as a warm start. He pairs academic rigor (publications and conference presentations in machine perception) with pragmatic engineering, implementing min-heap and difference-array techniques for real-world multi-resource scheduling. Equally comfortable leading people, Jakub has orchestrated large volunteer operations—running a 120-person program for Prague’s Signal Festival—and directs complex youth events as an executive producer in Scouting. A Rust- and functional-language enthusiast and AI explorer, he blends low-level performance instincts with a data-science master’s background to move research prototypes toward production-ready systems.
10 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at Faculty of Electrical Engineering, Czech Technical University in Prague
Contributions:2 pushes, 1 comment, 1 issue in 3 years 2 months
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