Rasmus Diederichsen
Senior Software Engineer at PSIORI
Hamburg, Germany
Summary
👤
Senior🎓
Top SchoolRasmus Diederichsen is a Senior Software Engineer in Hamburg with 11 years of experience bridging machine learning, computer vision and robotics for industrial automation. He specializes in sensor processing and LiDAR algorithms for recognition, tracking and mapping, and has production-grade experience shipping C++ and Python contributions to flagship open-source projects like OpenCV and the Point Cloud Library. His background blends cognitive science and computer science (Master’s with distinction) with hands-on research and tooling for neural networks, giving him a rare mix of theoretical insight and pragmatic engineering. At PSIORI he applies this mix to AI/robotics systems, while earlier work includes a reusable metrics system for live training insights at Peltarion. Colleagues know him as the “sentient deep recurrent neural network” type—analytical, meticulous about memory and interface issues, and oddly likely to tinker as a wannabe bicycle mechanic.
11 years of coding experience
1 year of employment as a software developer
Computer Science, GPA 4.0/4.0, Computer Science, GPA 4.0/4.0 at University College DublinBachelor’s Degree, Cognitive Science, A (with distinction), Bachelor’s Degree, Cognitive Science, A (with distinction) at Universität Osnabrück
English, German, French, Spanish, Swedish
Stackoverflow
4,358reputation
512kreached
45answers
97questions
Github Skills (25)
pcl10
c-language10
image-processing10
point-cloud-library10
cplus10
computer-vision10
cpp10
cprogramming-language10
point-cloud10
qt9
ios9
vtk9
macos8
documentation8
eigen8
Programming languages (34)
Github contributions (5)
opencv/opencv
Jun 2015 - Jun 2020
Open Source Computer Vision Library
Role in this project:
Backend & Software Engineer (Focus on Computer Vision)
Backend & Software Engineer (Focus on Computer Vision)Contributions:5 reviews, 7 commits, 7 PRs in 5 years
Contributions summary:Rasmus primarily contributed to the image processing and computer vision aspects of the OpenCV library. Their work involved fixing alpha channel handling in the conversion of OpenCV Mat objects to UIImage, correcting typos in documentation related to `findEssentialMat`, and addressing an error message for incorrect kernel sizes in a Canny edge detection function. They also added instructions for using `findEssentialMat` with different camera matrices.
pythonvisiondeep-learningc-plus-pluscomputer-vision
PointCloudLibrary/pcl
Aug 2021 - Jan 2023
Point Cloud Library (PCL)
Role in this project:Software Engineer
Software EngineerContributions:26 reviews, 10 commits, 23 PRs in 1 year 5 months
Contributions summary:Rasmus primarily focused on improving the Point Cloud Library (PCL) codebase by addressing several issues related to user interface, and memory management. They implemented scaling for mouse events on HiDpi monitors within the point cloud editor, and fixed crashes related to VTK and Qt integration on macOS in the manual registration and pcd video player applications. Furthermore, the user addressed potential memory problems in GICP and IncrementalRegistration by adding aligned operator new, while also correcting documentation and format specifiers.
cpppoint-cloud-libraryc-plus-pluscomputer-visionpcl-library
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