About me 👋

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

🚀 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:

• Designing cloud-agnostic infrastructure for AI model development and deployment (training & inference).
• Implementing automated provisioning of cloud resources and CI/CD pipelines for models and data.
• Integrating model registries (e.g., MLflow) and data versioning tools (e.g., DVC).
• Leveraging Kubernetes for scalable model deployment and developing custom gateways (Go) for enhanced security, monitoring, and load management.
• Optimizing data scientist workflows and managing on-premise GPU resources effectively.

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:

• Infrastructure & Self-Hosting: Dedicated to mastering the art of building, hosting, and maintaining efficient, reliable systems.
• High-Performance Computing (HPC): Delving into frameworks like OpenCL and CUDA to master parallel processing and harness GPU power.
• Memory Management: Exploring the nuances of manual and automatic memory allocation to craft truly great software.
• Systems Programming (Zig): Embracing Zig for its potential in performance-critical applications. My projects like the Advent of Code 2025 solutions (/adrien/Advent-of-Code) and ZipponDB (/adrien/ZipponDB) showcase my dedication to building efficient software from scratch. ZipponDB, in particular, is a database I've built entirely in Zig with no external dependencies, focused on simplicity, performance, and portability.
• Linux and Kernel Exploration: Now that I'm confident in my existing skills, I'm starting to investigate Linux internals and kernel programming to gain a foundational understanding of how operating systems truly function.
• Compilers, Assembly Language, and Hardware Architecture: Continuously investigating these areas to gain a fundamental understanding of system performance.

🎯 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.