I am an AI Engineer with 8 years of experience in France and the USA.
Specializing in Artificial Intelligence (IA) and Natural Language Processing (NLP), I build innovative solutions for real-world challenges. My skills include Machine Learning, Large Language Models, Retrieval Augmented Generation, Python development, and Data manipulation.
We help businesses of all sizes and across various industries (consulting and market research firms, real estate agencies, the film industry...) eliminate manual tasks and drive business impact.
We would like to invite you to a brief chat to analyze your current processes, identify opportunities for acceleration, and see if it would make sense to prototype a POC for your business.
The goal is simple: free up your technical and operational time!
At TheFork, a TripAdvisor scaleup company, I lead the design and development of an intelligent chat for context-aware restaurant recommendations. This involved integrating user-generated content into personalized retrieval and recommendation pipelines. I ensured effective LLM monitoring, observability, and evaluation, supporting reliable, scalable deployment.
As an AI Engineer at Acolad Group, a European leader in translation services, I defined 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.
As the first hire and Founder ML Engineer at qlip.ai, an early-stage startup, I built its ML pipeline from scratch. I applied advanced NLP techniques to analyse podcast videos, developed algorithms for punchline detection, topic modeling, and information extraction. I translated the company’s vision into user-driven solutions that supported the company’s early growth in a startup environment.
I hold a Ph.D. in AI from École Normale Supérieure, a Top-tier French academic institution. My doctoral research focused on leveraging ML to model the interplay between diversity and learnability in language.
Following my Ph.D., I joined Stanford University's Language and Cognition Lab in California as a Data Scientist, focusing on utilizing large-scale datasets to reverse-engineer the learning of diverse languages.
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.