AI & Automation Engineer and Transformation Leader with 9 years bridging research and production, from Stanford to enterprise AI at scale.

I specialize in NLP and AI, building systems powered by LLMs, RAG, and agentic AI  from prototype to production. Alongside hands-on engineering, I advise executives on AI adoption strategy and help organizations define and execute their AI roadmap.

I co-founded BotiqueAI, (https://www.botiqueai.com/), an AI agency building custom automation systems, LLMs, agents, RAG pipelines, smart workflows, and chatbots, for businesses across consulting, real estate, the film industry, and more. Our flagship product, Aria, is an AI assistant chatbot businesses can deploy directly on their website. 

As a CII-approved provider, eligible clients can benefit from the Crédit Impôt Innovation tax credit.

At TheFork (TripAdvisor), I lead AI transformation across the engineering organization, defining the AI roadmap and driving adoption of LLM-based systems at scale. On the product side, I designed and developed an AI-powered assistant for context-aware restaurant recommendations and led LLM-based restaurant classification across 300 tags and 11 countries. I oversee LLM monitoring, observability, and evaluation to ensure reliable, scalable deployment.

At Acolad Group, a European leader in translation services, I led the company's AI transformation defining its AI roadmap, advising leadership on strategic priorities, and delivering two production RAG and LLM applications: one automating translation post-editing with a 40% improvement rate, and an internal agentic chatbot enabling fast, accurate navigation of company documents.

As Founding ML Engineer and first hire at qlip.ai, an early-stage startup transforming long videos into shareable clips, I helped shape the company's vision alongside the founders, contributing to product decisions, recruitment, and rapid prototyping. On the technical side, I built the ML pipeline from scratch, applying NLP for topic modeling, punchline detection, sentiment analysis, and keyword extraction across multilingual content.

I hold a Ph.D. in AI from École Normale Supérieure, one of France's most prestigious institutions, where I applied ML to study how linguistic diversity shapes learnability across low-resource languages. 

I then joined Stanford University's Language and Cognition Lab as a Data Scientist, using large-scale datasets to model language acquisition across typologically diverse languages.

I teach NLP, LLMs, and AI at OpenClassrooms and the École Supérieure d'Ingénieurs de Vinci. I enjoy translating cutting-edge research into practical tools, whether that's in the classroom, in production, or in conversation.