Summary
Filip Sykala is a computer vision and computational geometry specialist with 10+ years of experience turning complex mathematical concepts into production-grade, high-performance C++ systems. He has deep domain expertise in CAD/CAM, GIS, 3D meshes, and path planning, routinely implementing and optimizing algorithms with libraries like CGAL, Boost.Geometry and Eigen for low-latency, memory-efficient backends. Filip has delivered practical robotics and stereovision solutions—accelerating workloads on CUDA and integrating ML frameworks—while shipping robust core systems at companies such as Prusa Research and Photoneo (Zebra Technologies). As an independent contractor he focuses on solving bottlenecks standard approaches can’t handle, from reducing spatial query complexity to architecting scalable geometric services. Fluent in modern C++ (17/20/23), multi-threading and performance tuning, he blends research-grade rigor with pragmatic engineering to produce production-ready code. Based in Kopřivnice, Czechia, he is approachable for hard geometric problems and known for digging into the geometric core rather than surface-level fixes.
10 years of coding experience
8 years of employment as a software developer
Master of Computer Applications (MCA), Multimedia and Computer Graphics, Master of Computer Applications (MCA), Multimedia and Computer Graphics at FIT VUTBR
c++