Juliette Faille is a backend software engineer and computational linguist with nine years of experience bridging research-grade NLP and production systems, recently focused on explainability for text generation as part of the NL4XAI Marie Curie PhD. She applies her PhD expertise in NLG and XAI to build and deploy NLP features and RAG systems, finetune LLMs, and design robust backend services using Python and AWS. Based in Paris, she combines a strong theoretical background from ETH Zürich and CentraleSupélec with hands-on localization work for Mozilla’s high-profile Common Voice project, improving accessibility for Maltese speakers. Juliette’s mix of signal-processing-informed machine learning, research collaboration (paper groups and conferences), and practical delivery makes her well-suited for R&D roles that require both scientific rigor and production engineering.
10 years of coding experience
Cursus ingénieure Supélec, Campus de Gif-sur-Yvette, Cursus ingénieure Supélec, Campus de Gif-sur-Yvette at CentraleSupélec
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universite de Lorraine
Master of Electrical Engineering and Information Technology, (Information Theory, Channel Coding, Error Correcting Codes, Signal Processing and Machine Learning), Master of Electrical Engineering and Information Technology, (Information Theory, Channel Coding, Error Correcting Codes, Signal Processing and Machine Learning) at ETH Zürich
CPGE MPSI-MP, CPGE MPSI-MP at Lycée Louis-le-Grand
Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
Role in this project:
Localization / Internationalization Specialist
Contributions:29 commits in 6 months
Contributions summary:Juliette primarily contributed to the localization of the Common Voice project. Their commits focused on updating and adding Maltese (mt) translations for various project components, including messages and cross-locale files. The contributions involved modifying language files to ensure the user interface and content were correctly presented in Maltese, enhancing the project's accessibility for Maltese speakers. This work demonstrates a direct impact on expanding the project's multilingual capabilities.
Contributions:189 pushes, 1 branch in 5 years 3 months
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