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<h1 align="left">About me π</h1>
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# Adrien Bouvais
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###
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Senior MLOps Engineer. I architect and automate robust, scalable machine learning lifecycles for enterprise clients (with a strong focus on the financial sector).
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<p align="left">My name is Adrien, a dedicated Software Engineer from Luxembourg, specializing in MLOps and data-intensive systems.</p>
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**Key areas of my MLOps expertise include:**
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* Designing cloud-agnostic infrastructure for AI model development and deployment (training & inference).
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* Implementing comprehensive CI/CD pipelines for models and data, leveraging Kubernetes, Docker, and Airflow.
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* Integrating model registries (e.g., MLflow) and data versioning tools (e.g., DVC).
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* Developing custom service gateways in Go for enhanced security, monitoring, and load management.
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* My primary toolkit revolves around Python, Go, and various cloud provider services.
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###
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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) β a database crafted entirely in Zig for simplicity and efficiency.
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<p align="left">
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π As a <strong>Senior MLOps Engineer</strong>, 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 β from development and training through to deployment and monitoring in production.
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<br><br>
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Key areas of my MLOps expertise include:
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<ul>
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<li>Designing cloud-agnostic infrastructure for AI model development and deployment (training & inference).</li>
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<li>Implementing automated provisioning of cloud resources and CI/CD pipelines for models and data.</li>
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<li>Integrating model registries (e.g., MLflow) and data versioning tools (e.g., DVC).</li>
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<li>Leveraging Kubernetes for scalable model deployment and developing custom gateways (Go) for enhanced security, monitoring, and load management.</li>
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<li>Optimizing data scientist workflows and managing on-premise GPU resources effectively.</li>
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</ul>
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My primary toolkit revolves around Python, Go, Kubernetes, Docker, Airflow, DVC, and various cloud provider services.
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</p>
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I am eager to lead the design of cutting-edge MLOps solutions and contribute to complex, performance-critical open-source projects.
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###
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<h2 align="left">Interests & Continuous Learning βοΈ</h2>
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<p align="left">
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My intellectual curiosity extends far beyond MLOps, with a deep-seated interest in <strong>infrastructure, deploying services, and system configuration.</strong> 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 β it's <strong>self-hosted on a home server</strong>, and you can find all the configurations and details of my setup <a href="/adrien/Selfhosted-config">here</a>. I enjoy optimizing the stack, getting hands-on with the hardware, and ensuring everything fits together perfectly.
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<br><br>
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This enthusiasm for low-level systems and high performance drives my current learning endeavors in:
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<ul>
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<li><strong>Infrastructure & Self-Hosting:</strong> Dedicated to mastering the art of building, hosting, and maintaining efficient, reliable systems.</li>
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<li><strong>High-Performance Computing (HPC):</strong> Delving into frameworks like OpenCL and CUDA to master parallel processing and harness GPU power.</li>
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<li><strong>Memory Management:</strong> Exploring the nuances of manual and automatic memory allocation to craft truly great software.</li>
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<li><strong>Systems Programming (Zig):</strong> Embracing Zig for its potential in performance-critical applications. My projects like the Advent of Code 2025 solutions (<a href="/adrien/Advent-of-Code">/adrien/Advent-of-Code</a>) and ZipponDB (<a href="/adrien/ZipponDB">/adrien/ZipponDB</a>) 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.</li>
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<li><strong>Linux and Kernel Exploration:</strong> 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.</li>
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<li><strong>Compilers, Assembly Language, and Hardware Architecture:</strong> Continuously investigating these areas to gain a fundamental understanding of system performance.</li>
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</ul>
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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.
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</p>
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<p align="left">
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π― 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.
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<br>
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π
I am committed to daily coding and continuous learning through technical literature and community engagement.
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<br>
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π² Fun fact: I can fall asleep in <1min every night.
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</p>
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πΌ **For professional inquiries & consulting, please contact me at:** `consulting@bouvais.lu`
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