Pierre-henri LE FUR is a versatile software engineer based in Le Mans with 11 years of experience building full-stack web applications and migrating legacy systems to modern stacks. He combines front-end expertise (React, Angular, RxJS) with back-end experience (Nest, Java/Spring) and a practical focus on refactoring, maintainability and developer-friendly architecture. An active open-source contributor, he improved user-facing features in the popular Rasa chatbot ecosystem—working on both the React-based webchat widget and server-side NLU routing—demonstrating fluency across UI and server concerns. Comfortable in product teams, he has driven Angular migrations from v8 to v15 and delivered pragmatic solutions for healthcare and transport domains. Colleagues describe him as curious and adaptable, able to translate operational experience from years at SNCF into resilient, user-centered software.
11 years of coding experience
2 years of employment as a software developer
Developpeur Web et Web Mobile, Computer Programming/Programmer, General, Developpeur Web et Web Mobile, Computer Programming/Programmer, General at Human Booster
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Back-end Developer
Contributions:116 commits, 11 PRs, 228 comments in 3 months
Contributions summary:Pierre-henri's commits primarily focused on modifications within the Rasa NLU framework, particularly around server-side logic and data processing. Their contributions included enhancements to logging, replacing Flask HTTP server with Klein, and updating data router functionality based on code reviews. These changes demonstrate a focus on improving the server's architecture and functionality, specifically related to routing and request handling.
Contributions:16 commits, 14 pushes, 2 branches in 16 days
Contributions summary:Pierre-henri primarily contributed to the development of the React-based chat widget's front-end components. They focused on integrating new features, such as quick replies and enhanced styling, and improved the user interface through modifications to the widget's layout and functionality. The user also worked on code cleanup and refactoring, which improved the overall maintainability of the project. Their work is focused on improving the chat widget's features and the end-user experience.
widgetchatbotsrasachat-applicationfeature-rich
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Pierre-henri LE FUR - Software Engineer at Moments Lab