# Adrien Bouvais

Senior MLOps Engineer. I architect and automate robust, scalable machine learning lifecycles for enterprise clients (with a strong focus on the financial sector).

**Key areas of my MLOps expertise include:**
* Designing cloud-agnostic infrastructure for AI model development and deployment (training & inference).
* Implementing comprehensive CI/CD pipelines for models and data, leveraging Kubernetes, Docker, and Airflow.
* Integrating model registries (e.g., MLflow) and data versioning tools (e.g., DVC).
* Developing custom service gateways in Go for enhanced security, monitoring, and load management.
* My primary toolkit revolves around Python, Go, and various cloud provider services.

Beyond MLOps, I'm deeply passionate about performant infrastructure, systems programming, and understanding technology from the bits up. This drives my enthusiasm for self-hosting this site ([details of my setup](https://git.bouvais.lu/adrien/Selfhosted-config)), exploring High-Performance Computing (HPC) and kernel intricacies, and building projects like [ZipponDB](https://git.bouvais.lu/adrien/ZipponDB) - a database crafted entirely in Zig for simplicity and efficiency.

I am eager to lead the design of cutting-edge MLOps solutions and contribute to complex, performance-critical open-source projects.

💼 **For professional inquiries & consulting, please contact me at:** `consulting@bouvais.lu`