Louis Ramard is a Paris-based founder and CEO with a decade of experience building data-driven startups that modernize legacy markets, from real estate search engines to supply-chain risk intelligence. He co-founded Datafalk to provide real-time tracking and visualization of global supply-chain disruptions and previously built property-location platforms that scaled to thousands of searches per city week-over-week. Technically grounded with a specialization in algorithmics from 42 and hands-on backend/API contributions to the popular open-source Rasa project (notably improving Bot Framework integration), he blends product vision with practical engineering. Comfortable moving between Python/Docker scraping tools, API integrations, and go-to-market execution, Louis also teaches fintech students how alternative data and AI enhance quant strategies. He has a track record of turning niche technical innovations—like a unique property-location engine and a novel chocolate-making process—into commercial products and notable partnerships.
10 years of coding experience
4 years of employment as a software developer
Spécialisation en algorithmie, Spécialisation en algorithmie at 42
Licence MIS, (Mathématiques, Statistiques et Informatique ), Licence MIS, (Mathématiques, Statistiques et Informatique ) at Université Bretagne Sud
💬 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:
Backend & API Developer
Contributions:29 commits, 4 PRs, 13 comments in 1 year 5 months
Contributions summary:Louis primarily contributed to the development and enhancement of the Microsoft Bot Framework (now renamed) integration for the Rasa framework. This involved implementing new features like handling attachments and custom messages, improving token management, and refactoring code for better maintainability. They also addressed code formatting issues and added documentation to the connector. The user demonstrated an understanding of API integration, specifically focusing on the Bot Framework's authentication and message handling.
💬 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
Contributions:2 PRs, 16 pushes, 2 branches in 2 months
pythonnlubotspeech-recognitiondialogue-systems
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