Tomer Karagiannis is a software engineer with 8 years of experience building perception, planning, and tooling for autonomous racing systems, currently developing engineering tools at Manthey-Racing in Germany. He led the driverless software effort at FaSTTUBe (TU Berlin), architecting path planning and SLAM components and supervising their integration into competition vehicles. His background blends academic research and hands-on vehicle control work—he completed a master’s–level thesis on vehicle control while administering ML programming courses and contributing as a research assistant. Comfortable across Python-based ML stacks and embedded/autonomy toolchains, he focuses on turning experimental algorithms into reliable software used on real racecars. Colleagues describe him as equally driven by fast cars and making computers think like humans, with a knack for mentoring newcomers to sustain long-term projects.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Technische Universität Berlin
Formula Student Driverless Path Planning Algorithm. Colorblind centerline calculation algorithm developed by FaSTTUBe. It introduces a novel approach that uses neither Delaunay Triangulation nor RRT.
Contributions:24 commits, 9 PRs, 82 pushes in 3 months
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Tomer Karagiannis - Software Engineer at Manthey-Racing GmbH