Josef Fulem
Senior Technology Architect at Self-employed
Úvaly, Central Bohemia, Czechia
Summary
👤
Senior🎓
Top SchoolJosef Fulem is a Senior Technology Architect with 9 years of professional experience and a PhD in Chemical Engineering, combining deep domain expertise in vehicle and engine systems with strong skills in AI, agent-based simulation, and mathematical modeling. He has led development of Modelica libraries and vehicle simulation tools at Ricardo and contributed route-planning algorithms for autonomous agricultural vehicles on GitHub, bridging academic rigor with practical open-source impact. His work spans CFD, system optimization, and complex systems simulation, implemented across languages including Java, Python, C/C++, Fortran and Modelica. More recently as an independent consultant he applies machine learning and motion planning to robotics, cardiac ablation visualization and PLC/RC systems, demonstrating unusual cross-disciplinary fluency. Josef pairs hands-on programming with systems thinking—designing optimization and decision tools that translate physics-based models into deployable software. Based in Úvaly, Czechia, he is equally at home prototyping CFD modules and deploying ML-driven ECG solutions, often combining simulation-based insight with production-ready engineering.
9 years of coding experience
15 years of employment as a software developer
Ph.D., Chemical Engineering, Ph.D., Chemical Engineering at University of Chemistry and Technology in Prague (UCT Prague)
English, Czech
Github Skills (8)
algorithm10
algorithms10
c-language10
cprogramming-language10
testing9
cpp9
pathfinding8
autonomous-vehicles5
Programming languages (13)
Github contributions (5)
Fields2Cover/Fields2Cover
Aug 2022 - Sep 2022
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 32 commits, 9 PRs in 1 month
Contributions summary:Josef primarily contributed to the route planning components of the project. Their work focused on implementing and refining different swath ordering algorithms, including a custom order feature. They added, modified, and tested functionalities related to spiral and custom route planning implementations.
path-planningautonomoussimulationcoverage-path-planningpaths
jfulem/Fields2Cover
Aug 2022 - Jan 2023
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
Contributions:23 pushes, 3 branches in 5 months
path-planningautonomoussimulationcoverage-path-planningpaths
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