Lukas Winkler is an experienced software leader and entrepreneur based in Vienna with 11 years of delivering product-focused engineering and architecture across IoT, enterprise, and cloud platforms. As Geschäftsführer and Solutions Architect at SAILBAHN (and formerly Head of IoT Platforms at Cloudflight), he blends hands-on development with strategic systems design to accelerate teams and projects. He contributes to prominent open-source projects like Matomo—improving frontend UX—and to scientific FOSS such as the N-body rebound code, reflecting a rare mix of user-facing polish and research-oriented rigor. Trained as a physicist/astronomer, he brings analytical depth and attention to detail to product decisions, often spotting UI/UX fixes and documentation gaps that improve long-term maintainability.
Empowering People Ethically 🚀 — Matomo is hiring! Join us → https://matomo.org/jobs Matomo is the leading open-source alternative to Google Analytics, giving you complete control and built-in privacy. Easily collect, visualise, and analyse data from websites & apps. Star us on GitHub ⭐️ – Pull Requests welcome!
Role in this project:
Front-end Developer
Contributions:61 reviews, 185 commits, 193 PRs in 5 years 9 months
Contributions summary:Lukas primarily contributed to the Matomo project's frontend by addressing UI and UX issues. Their work focused on fixing icon sizes, image display, and the appearance of various elements such as popups and report visualizations. They also improved the responsiveness and layout of the user interface by specifying max-width for images and adjusting the styling of the site selector. Furthermore, the user's commits indicate a focus on improving the overall user experience by refining the display of icons and other visual elements.
Contributions:5 reviews, 41 commits, 21 PRs in 1 year 7 months
Contributions summary:Lukas's primary contributions revolve around enhancing the documentation and addressing code issues related to the `rebound` code. The user fixed broken links within the documentation, ensuring the accuracy and accessibility of tutorials. They also updated example code and fixed a matplotlib deprecation warning, improving the usability and maintainability of the software. Additionally, the user addressed code inconsistencies by removing particles and made some modifications to the C code examples.
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