diff --git a/README.md b/README.md index 99c06bd..f71b574 100644 --- a/README.md +++ b/README.md @@ -1,48 +1,16 @@ -

About me 👋

+# 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). -

My name is Adrien, a dedicated Software Engineer from Luxembourg, specializing in MLOps and data-intensive systems.

+**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. -

-🚀 As a Senior MLOps Engineer, I architect, build, and implement comprehensive MLOps platforms from the ground up, primarily for enterprise clients in the financial sector. My core focus is on enabling robust, scalable, and automated machine learning lifecycles – from development and training through to deployment and monitoring in production. -

-Key areas of my MLOps expertise include: -

-My primary toolkit revolves around Python, Go, Kubernetes, Docker, Airflow, DVC, and various cloud provider services. -

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

Interests & Continuous Learning ⚙️

- -

-My intellectual curiosity extends far beyond MLOps, with a deep-seated interest in infrastructure, deploying services, and system configuration. I get a real kick out of seeing things work seamlessly from the ground up, understanding the entire stack from memory optimization to continuous integration and deployment. This website is a testament to that — it's self-hosted on a home server, and you can find all the configurations and details of my setup here. I enjoy optimizing the stack, getting hands-on with the hardware, and ensuring everything fits together perfectly. -

-This enthusiasm for low-level systems and high performance drives my current learning endeavors in: -

-My ultimate goal is to leverage this comprehensive knowledge to architect and build exceptionally performant, resilient, and efficiently deployed software systems, bridging the gap between MLOps, HPC, and robust infrastructure. -

- -

-🎯 My ambition is to lead the design of cutting-edge MLOps solutions and contribute to complex, performance-critical open-source projects, ideally in a remote capacity. -
-📅 I am committed to daily coding and continuous learning through technical literature and community engagement. -
-🎲 Fun fact: I can fall asleep in <1min every night. -

+💼 **For professional inquiries & consulting, please contact me at:** `consulting@bouvais.lu` \ No newline at end of file