I am an AI Engineer with 7 years of experience in France and the USA. Specializing in Natural Language Processing and Artificial Intelligence, I build innovative solutions for real-world challenges. My skills include Machine Learning, Large Language Models, Python development, and Data manipulation.

I am also the co-founder of BotiqueAI, a custom AI solutions agency dedicated to helping businesses operate smarter and innovate faster. Our tailored AI services deliver measurable impact by integrating directly into your workflows and addressing specific needs. We focus on seamless AI adoption, ensuring that every solution we build boosts productivity, and creates real business value, not just hype.

At TheFork, a TripAdvisor company, I am leading the design and development of the core AI workflow powering an intelligent, agentic chatbot for context-aware, user-friendly restaurant recommendations. This involves integrating user-generated content into personalized retrieval and recommendation pipelines. I also ensure system robustness through effective LLM monitoring, observability, and evaluation, supporting reliable, scalable deployment.

Previously, as an AI Engineer at Acolad, I helped define the company’s AI roadmap, contributing to strategic decisions and initiatives. I led the development of two impactful RAG and LLM applications: one improving the company’s translation post-editing process and a chatbot enabling internal document navigation; two AI-driven solutions delivering tangible impact. From concept to implementation, I ensured these solutions followed MLOps best practices for performance and scalability.

As the first hire at Qlip.ai, a dynamic startup, I built its entire ML pipeline from scratch. I applied advanced NLP techniques to analyse podcast data, developed algorithms for punchline detection, topic modeling, and information extraction, and ran experiments to refine model performance. I translated the company’s vision into tested, user-driven solutions that supported the company’s early growth all while navigating the inherent constraints of a startup environment.

I hold a Ph.D. in AI from École Normale Supérieure, where I used machine learning to model diversity and learnability in language. As a data scientist at Stanford University’s Language and Cognition Lab, I worked with large-scale datasets to reverse-engineer the learning of diverse languages. 

Alongside engineering, I teach AI and Data Science at OpenClassrooms and the École Supérieure d’Ingénieurs de Vinci, mentoring students and professionals alike. I’m passionate about open science and making complex ideas accessible.