Thomas Jespersen
Lead Software Engineer at Power Stow
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolThomas Jespersen is a lead software engineer and robotics specialist with 14 years of hands-on experience spanning embedded electronics, control systems, SLAM, sensor fusion, and firmware development. He has led cross-disciplinary teams and R&D projects—most recently bringing up a ROS2 mono-repository, embedded firmwares, and development practices at Seasony and now leading robotics software at Power Stow. His work at Motional shaped production-grade motion planning and perception prototypes, and he contributed to the acados open-source project by improving MATLAB interfaces and codegen for nonlinear optimal control examples. Equally comfortable in C/C++ and MATLAB/Python, he pairs deep mathematical rigour with practical skills in PCB design, FreeRTOS firmware, MPC, and simulation (Gazebo/Isaac). He thrives in the prototype-to-product lifecycle, having shipped everything from balancing robots and drones to autonomous vehicle components and consumer hardware. Detail-oriented and entrepreneurial, he often blends low-level firmware fixes with high-level architecture and process improvements that accelerate team delivery.
14 years of coding experience
9 years of employment as a software developer
Master of Science (MSc) in Engineering Control and Automation, Master of Science (MSc) in Engineering Control and Automation at Aalborg UniversityHTX Physics A Mathematics A, HTX Physics A Mathematics A at Uddannelsescenter Holstebro
Danish, English
Github Skills (12)
controls10
control-theory10
embedded10
matlab10
sys10
controlling10
control-flow10
controlled10
optimization10
c119
c179
linear-algebra8
Programming languages (8)
Github contributions (5)
acados/acados
Aug 2020 - Apr 2021
Fast and embedded solvers for nonlinear optimal control
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 5 PRs, 6 comments in 7 months
Contributions summary:Thomas contributed to the `acados` repository by implementing and porting examples to MATLAB, specifically for race cars. They added missing Jacobian files for external cost functions, modifying template files for code generation. Furthermore, the user fixed parameters related to generic external cost functions within the MATLAB interface and added Octave support to the external cost functions. These changes improved the library's functionality and usability.
nonlinearnonlinear-optimizationsolversoptimizationsolver
TKJElectronics/AndroidControllableLights
Jan 2013 - Jun 2014
Contributions:12 commits in 1 year 5 months
stringledbluetoothbleandroid
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