Louis De Bellevue

As Data and Machine Learning Engineer with 6 years of experience, I specialize in building end-to-end data infrastructures from the ground up. As the data team lead in my last role, I independently designed, constructed, and automated a complete data platform on AWS.

For the past three years, I have owned the entire data lifecycle for my company. My key achievements include:

- End-to-End Platform Development: Architected and implemented a full analytics pipeline, from data collection and complex ETL processes to storage in a data warehouse.

- Modern Cloud Infrastructure: Built a scalable infrastructure on AWS, utilizing S3 for data lakes, ECS & ECR for containerized applications with Docker, and PostgreSQL on Aurora Serverless for our data warehouse.

- Workflow Orchestration & Automation: Implemented robust CI/CD pipelines and orchestrated complex data workflows with Prefect, ensuring high availability and reliability.

- LLM integration : Used Mistral and OpenAI models in production

- Business Intelligence Integration: Successfully channeled processed data into the Luzmo BI tool, empowering the business with actionable dashboards.

Before specializing in data engineering, I spent three years as an ML engineer.

This background gives me a deep understanding of ML models and LLMs.

- Worked on challenging projects in computer vision and time series prediction with medical data.

- Developed and deployed algorithms using GCP, PyTorch, and Scikit-Learn.

My experience covers the full data value chain, making me comfortable in both high-level business discussions and deep technical implementation. I prioritize clear communication and a pragmatic approach to building solutions that deliver tangible business value.

- M.S. in Data Science | École Polytechnique

- M.S. in Applied Mathematics & Optimisation | ENSTA Paris