Kevin Decherf is a seasoned systems and platform engineer with 16 years of experience, now serving as Deputy System Director in the Greater Paris area. He blends hands-on DevOps and automation expertise—from OpenStack and Proxmox clusters to Ansible-driven migrations—with platform architecture and production management experience dating back to co-founding Clever Cloud. Kevin contributes to notable open-source projects like wallabag and Umami, focusing on front-end usability and robust back-end filtering, showing a rare mix of UI/UX sensitivity and API-level correctness. Comfortable leading cross-functional teams, he has repeatedly turned operational complexity into repeatable automation and scalable platforms. Colleagues appreciate his pragmatic approach to preventing subtle issues (e.g., naming collisions and UI regressions) while keeping systems reliable in production.
15 years of coding experience
15 years of employment as a software developer
Lycée Gabriel Touchard, Le Mans
Information Technology, Information Technology at SUPINFO
wallabag is a self hostable application for saving web pages: Save and classify articles. Read them later. Freely.
Role in this project:
Full-stack Developer
Contributions:268 reviews, 272 commits, 232 PRs in 6 years 3 months
Contributions summary:Kevin primarily contributed to the front-end Material theme, refactoring and updating the UI/UX elements. Their work included preventing bold formatting in titles, modifying font sizes, and updating the style of article links, lists, and preformatted text blocks. They also fixed a number of UI issues within the material theme, while also making code changes to enhance the existing site search.
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Role in this project:
Full-stack Developer
Contributions:2 reviews, 5 commits, 1 PR in 4 days
Contributions summary:Kevin primarily worked on refining the Umami web analytics platform by addressing referrer filtering and URL handling within the application. They modified both front-end components and back-end API endpoints to ensure correct filtering behavior. Significant changes were made across multiple files including modifications to the pageview stats endpoint, metric tables, and filter logic. Furthermore, the user refactored code to prevent naming collisions within the application.
chartsanalyticsstatisticsprivacyprivacy-focused
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