Korijn Van Golen is a seasoned engineering leader with 12 years of experience building and delivering compliant, production-grade software systems, currently serving as Head of Engineering in Zoetermeer. He combines hands-on expertise in software architecture, QA and DevOps with a track record of shipping regulated medical devices and implementing ISO/IEC-based QMS and automated compliance workflows. A manager who stays technical, he mentors high-performing teams while ensuring releasable, well-organized code and scalable system design. His open-source contributions span tooling and libraries such as conda, scikit-image and pydicom—where he added YAML selector support, optimized HOG performance, and extended DICOM compressed pixel handling—demonstrating deep backend and imaging proficiency. Outside work he develops music production software and plays drums in a band, reflecting a practical creative streak that informs his engineering problem solving.
12 years of coding experience
19 years of employment as a software developer
Master of Science (MSc) Computer Science Medical Visualization, Master of Science (MSc) Computer Science Medical Visualization at TU Delft
Bachelor of Science (BSc) Computer Science Computer Graphics, Bachelor of Science (BSc) Computer Science Computer Graphics at Delft University of Technology
VWO Science & Biology w/ added math, VWO Science & Biology w/ added math at Develstein College
Multiple file upload plugin with image previews, drag and drop, progress bars. S3 and Azure support, image scaling, form support, chunking, resume, pause, and tons of other features.
Role in this project:
Back-end Developer
Contributions:15 commits, 3 PRs, 48 comments in 5 months
Contributions summary:Korijn primarily contributed to improving the Azure integration within the fine-uploader plugin. Their work focused on enhancing the handling of Azure request headers, ensuring correct parameter encoding, and adding unit tests for Azure-specific file uploads. They fixed several JSLint and JSCS errors, improving code quality, and added improvements to method documentation. They also addressed an issue related to file extensions when using the UUID blob name mode.
Contributions summary:Korijn contributed to the scikit-image project by modifying and enhancing the Histogram of Oriented Gradients (HOG) implementation. Their work involved refactoring code, optimizing performance through the use of Cython and memory views, and improving code quality with PEP8 formatting. They added unit tests to ensure the correctness of the HOG output.
image-processingpythoncomputer-visionimage
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