About Me

Graduate in NLP with both mentoring and hands-on technical experiences. Ex-fundamental physics lover. I move between code and conversation, research and routine.

Experience

Data Science

  • AI Data Scientist – Arlequin – April 2025 - present
    • part of the R&D team ☆ﾐ(o*･ω･)ﾉ

Mentoring and teaching

  • Teaching – INALCO – September 2025 - present
    • Introduction à la programmation (L3 TAL; see teachings)
  • AI use-case coach – Centrale Supélec – February - April 2025
    • coaching students on Agile methodologies, NLP (multimodal), helping them develop MVPs for Centrale Supélec over a 7-week-sprint, at the Paris Digital Lab.
    • bridging communication between client, professors and students.
  • AI mentor – Wild Code School – January 2025 - present
    • mentoring professionals on no-code Generative AI tools and prompt engineering, as well as AI app development with LangChain.
    • delivering both collective and individual mentoring sessions.

Internships

  • Head of project in NLP & AI – INEX – April - September 2024
    • In charge of the development of a domain-specific RAG chatbot (legal & AEC).
    • Data collection, preparation, RAG implementation (“from scratch”), prompt engineering with Mistral-7x8b-Instruct, LLM inference optimisation (quantization, frameworks like llama-cpp…).
  • Research intern – Laboratoire de Phonétique et Phonologie (LPP) – May - July 2023
    • Preparatory work on spontaneous speech corpus (CFPP: Corpus du Français Parler Parisien) for a sociophonetic study of parisian french.
  • Research intern – Laboratoire Physique des 2 infinis (IJCLab) – June - July 2020
    • Implementation of MLPs in addition to Monte-Carlo statistical methods to optimise optic simulations with GATE.

Education

  • Master’s degree in NLP – Université Sorbonne Nouvelle (Paris 3) – 2022 - 2024
    • speech processing: computational phonology, speech perception, prosody, text-to-speech, ASR with CNNs
    • computational semantics, information retrieval, named-entity recognition
    • machine learning (SVM, Random Forest, linear regression, clustering), deep-learning (MLP, CNN, LSTM, RNN), NLG with LLMs.
    • sociolinguistics, Chomskyan grammar.
    • Master’s thesis: Martin Expert : une architecture RAG pour l’assistance réglementaire dans le BTP
  • Bachelor’s degree in Physics – Université Paris Cité (Campus des Grands Moulins) – 2017 - 2020
    • computational physics
    • electrokinetics, electromagnetism, waves
    • quantum physics & mechanics