About Me:
I design and operate production-grade AI systems, from data pipelines to large-scale inference platforms.
My focus is turning AI into a controllable capability: running self-hosted models, building GenAI pipelines, and enabling organizations to produce and serve their own tokens instead of relying on external APIs.
I work across system design, distributed infrastructure, and model integration, with a strong emphasis on performance, sovereignty, and operational simplicity.
Skills
Experience
Education
- AI Platform & Infrastructure
Python, Kafka, Kubernetes, Docker, Terraform, CI/CD, distributed systems.
- Engineering Focus
Inference platform design, sovereign AI architecture, performance optimization, observability, production operations.
- GenAI Stack
Self-hosted LLM inference, RAG systems, LangGraph, vLLM, LiteLLM, WhisperX, model integration.
- Soft skills
Excellent communication, problem solving, technical leadership, collaboration, fast adaptation.
- Language
Fluent French and English, intermediate Chinese and Japanese.
- Jan 2026 - Present
Domain Manager AI Compute & Inference · Amaris ConsultingDesigning AI training sessions for consultants, developers, and leadership around real-world AI systems and operations.
Leading sovereign inference platform initiatives so companies can become self-sufficient AI providers.
- Mar 2024 - Present
Data & AI Engineer Consultant · RTBFLeading the design and deployment of a sovereign inference platform for on-premise LLM, embedding, and speech serving.
Operating GenAI systems in production: RAG pipelines, LangGraph editorial tools, transcription, summarization, and metadata extraction.
Supporting recommendation products at media scale for 5 million+ users across a 100+ microservice architecture.
Stack: Python, Kafka, Neo4j, Kubernetes, Docker, Redis, AWS, Terraform, Ray, LiteLLM, vLLM.
- Jan 2024 - Jan 2026
Senior Data Engineer · Amaris ConsultingBuilt internal data platform capabilities, including a configuration builder interface created from scratch.
Engineered DAG-based lineage querying, query validation, and deployable open-source RAG components.
Built a GenAI-augmented scraper for targeted collection, batch evaluation, and LLM-based classification.
- 07/2022-12/2023
Junior Data Engineer at PragazBuilt dashboards and analytics workflows from delivery data to surface business insights.
Created a web application and ETL pipeline to automate scraping and streamline lead generation.
Stack: AWS, Docker, Dash, Streamlit, PostgreSQL, Selenium, Pytest, Pandas, SQLAlchemy.
- 2023-2024
Master's degree in Data Science
OpenClassroom - CentraleSupélec - 2022-2023
Bachelor's degree in Data analysis
OpenClassroom - ENSAE - 2012-2015
Bachelor's degree in Video Editing
University of Rennes 2 - 2007-2011
High school diploma in science
