Matthieu Dumont
Staff Software Engineer at Algolia
Greater Paris Metropolitan Region France
Summary
🤩
Rockstar🎓
Top SchoolMatthieu Dumont is a Staff Software Engineer at Algolia with 11 years of experience building search infrastructure and full‑stack products, spanning C++, Go, Kubernetes, Ruby and JavaScript. He grew the Custom Crawler from MVP into an 8‑person, revenue‑generating project that handles millions of pages per day with JavaScript rendering and sandboxed DOM→JSON pipelines. Today he works on core search and AI capabilities (NeuralSearch) while continuing to contribute to Algolia’s popular open‑source instantsearch and autocomplete libraries, shipping frontend features, compatibility fixes and tests. A hacker at heart with formal ML studies from EPITA and early international stints in San Francisco and Tokyo, he blends low‑level systems engineering with product sensibility and a pragmatic approach to scalability.
12 years of coding experience
8 years of employment as a software developer
Machine Learning, Machine Learning at EPITA: Ingénierie InformatiqueBaccalauréat, Scientifique, Baccalauréat, Scientifique at Lycée Condorcet
English, Spanish
Github Skills (28)
javascript10
ui-d10
widgets10
testing10
css10
autocomplete10
ui-design10
javascripts10
front-end-development10
frontend-development10
react10
widget10
typeahead9
python-templates9
instantsearch9
Programming languages (17)
Github contributions (5)
algolia/instantsearch
Sep 2015 - Mar 2016
⚡️ Libraries for building performant and instant search and recommend experiences with Algolia. Compatible with JavaScript, TypeScript, React and Vue.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:44 commits, 40 PRs, 80 pushes in 5 months
Contributions summary:Matthieu primarily contributed to the `instantsearch` repository by implementing and refining frontend components and widgets. Their work included adding new features to the search box widget, such as the "poweredBy" option, and implementing new functionalities to the refinement list and menu components. The user also made changes to the template component, enhancing the flexibility of various widgets and addressing issues related to class name duplication.
instantsearchvueperformantvuejsjavascript
algolia/autocomplete
Jul 2015 - Jan 2017
🔮 Fast and full-featured autocomplete library
Role in this project:Front-end Developer
Front-end DeveloperContributions:11 commits, 4 PRs, 13 pushes in 1 year 6 months
Contributions summary:Matthieu primarily focused on enhancing the autocomplete library's functionality and user experience. Their contributions include refactoring the typeahead namespace, implementing the `noConflict` method to prevent conflicts with existing JavaScript libraries, and introducing an `appendTo` parameter for customizing where the autocomplete suggestions are rendered. Furthermore, the user added testing to improve the library's reliability and maintainability. They also addressed Angular compatibility issues, preventing directive launch if an autocomplete value exists.
queryfull-featuredmodalcomboboxaccessible
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