Quentin Pleplé is a seasoned technology leader and CTO specializing in AI modernization with 15 years of experience building scalable web and AI systems from product inception to production. Based in Paris, he has led engineering and R&D teams across startups and product companies—most recently designing a 90+ agent LLM pipeline and multilingual dictionary generation at Reverso that produced ~300k entries and 500k definitions. As co-founder and CTO of Short Edition he combined hands-on PHP/Symfony development, AWS infrastructure automation and operational management for a platform with 500k users and 500 deployed devices, and earlier founded a consulting ML shop serving clients like Airbus. He is active in open source and documentation—contributing backend refactors to popular PHP projects (Gaufrette) and improving SonataAdmin docs—demonstrating both deep engineering skills and attention to developer experience. Quentin pairs École Polytechnique and UCSD Big Data training with a pragmatic focus on turning research-grade ML into reliable, maintainable products. Notably, he has experience securing funding and industrializing processes, having overseen multimillion-euro fundraises and designed extensive training and reporting systems.
15 years of coding experience
14 years of employment as a software developer
University of California, San Diego
Master of Science Computer Science, Master of Science Computer Science at École Polytechnique
Contributions summary:Quentin primarily focused on improving the project's documentation, addressing typos, and refining wording within the documentation files. They also updated installation instructions, including adding installation scripts. Additionally, the user reorganized the documentation and made formatting updates to enhance readability. Their contributions centered around enhancing the documentation for users.
Contributions summary:Quentin primarily contributed to the documentation and organization of a "Big O Cheat Sheet". Their commits focused on adding and modifying entries within a "Tables.html" file, which appears to contain a structured overview of algorithm complexities. The changes include adding new algorithms, such as Dijkstra's and Bellman-Ford, along with their space and time complexities. They also made adjustments to the presentation of existing entries, and clarified the context of the information.
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