My Experiences

At Etalab, I developed OpenGateLLM, an opensource sovereign generative AI solution for French public entities, handling 300k daily requests. Deployed dozens of self-hosted LLMs with advanced features (RAG, agentic, MCP...). Secured infrastructure and obtained ANSSI certification.

At ManoMano, I designed the architecture of an MLOps platform on AWS, then implemented and industrialized it for all the data teams in the company. It is currently used daily by the data science team for building, deploying and monitoring ML models.

I teach data courses and trainings in schools and companies covering model deployment, data science, data engineering, CI/CD, and best practices in data.

At MyTraffic, I implemented data science models at high scale, and deployed them on the cloud for pedestrian traffic insights.

Built and maintained batch and real-time data pipelines to provide business insights on a continuous basis. These pipelines were downstream from a programmatic ad-serving platform generating 50 TB of data a day.

Deployed a suite of monitoring and management tools across multiple Kafka clusters. These tools reduced the engineering time of certain cluster operations (scaling, rebalancing) by 90% as well as enhanced the overall visibility into the health of these clusters.

Developed a high-scale programmatic inventory forecasting web tool. This tool uses an ARIMA model and terabytes of historical data to predict ad inventory. In close cooperation with operational teams, we provided the end-users the ability to determine achievable ad campaigns goals with confidence using the forecast results.