Rasmus Jørgensen
Algorithm Engineer at Weibel Scientific
Copenhagen, Capital Region of Denmark
Summary
🤩
Rockstar🎓
Top SchoolRasmus Jørgensen is an Algorithm Engineer with a decade of experience specializing in high-performance real-time systems, primarily implementing C++ and CUDA solutions while prototyping in Python. He combines rigorous simulation-driven validation with practical algorithm design to ensure runtime reliability in complex scenarios. His academic background in Earth and Space Physics and Engineering from DTU—culminating in research on physics-informed neural networks for nonlinear PDE inverse problems—gives him deep experience in data analysis and ML for scientific applications. At Weibel Scientific he applies this blend of numerical methods and systems engineering, and his open-source work includes enhancing interactive AR sandbox mechanics, reflecting a knack for improving user-facing behaviors as well as core algorithms.
11 years of coding experience
Technical University of Denmark
Github Skills (6)
c-language10
game-development10
cprogramming-language10
augmented-reality9
opencv9
user-interface9
Programming languages (3)
Github contributions (5)
thomwolf/Magic-Sand
Aug 2017 - Oct 2017
Magic-Sand is a software for operating an augmented reality sandbox
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:3 releases, 54 commits, 22 pushes in 2 months
Contributions summary:Rasmus significantly modified the `BoidGameController.cpp` file, adding new games and functionalities related to an augmented reality sandbox. These changes included modifications to Boid behavior, the introduction of new game sequences, and updates to the user interface with score displays. Furthermore, the user updated the version of the project and incorporated options for flipping the display of game elements and implemented simple outlier removal. These modifications suggest the user focused on enhancing core game mechanics and user experience.
augmented-reality
RasmusRPaulsen/DTUImageAnalysis
Sep 2022 - Dec 2022
Exercises, data and other material for the DTU course 02502 Image Analysis
Contributions:126 commits, 149 pushes, 1 branch in 3 months
image-analysisanalysiscamerasimagescikit-image
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