16 lines
1.3 KiB
Markdown
16 lines
1.3 KiB
Markdown
# 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](/adrien/Selfhosted-config)), exploring High-Performance Computing (HPC) and kernel intricacies, and building projects like [ZipponDB](/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` |