Thomas Queste is a pragmatic technical lead with ~20 years of software experience and a 15-year track record of building large-scale, production search systems and AI-enabled product experiences. At ADEO he led development of Leroy Merlin’s search platform—scaling catalogs 45x, improving CTR to ~42%, and running hundreds of queries per second with high availability—then moved into integrating VertexAI, RAG, and vector search to bring natural language and question-answering into production. Product-minded and operator-focused, he combines ranking science, knowledge-graph entity recognition, and performance-first engineering with tooling like a custom Elastic operator and a Relevant Workbench CLI for measuring nDCG impact. A serial founder and certified specialist in Elasticsearch, MongoDB, ML and Java, he mentors teams on relevance, prompt engineering, and shipping fast while contributing to open-source back-end tooling such as cozy-stack. Based in Lille, he pairs hands-on coding in TypeScript and Python with a pen-and-paper obsession for clear design and practical trade-offs.
15 years of coding experience
15 years of employment as a software developer
Master's degree Software Engineering, Master's degree Software Engineering at EPSI - Ecole Privée des Sciences Informatiques
Contributions:28 commits, 8 PRs, 23 comments in 13 days
Contributions summary:Thomas primarily focused on configuring and enhancing the `cozy-stack` application's command-line interface, built using the Cobra library. Their contributions include refactoring command-line arguments, connecting Cobra with Viper for configuration management, and implementing configuration parameters for the server. They also integrated the configuration parameters for the status command and updated the codebase to use the configured port.
Python CLI for the library of Roubaix (Médiathèque Roubaix)
Contributions:1 release, 19 PRs, 132 pushes in 2 years 1 month
pythonfunctional-programmingpython-cliquecli
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