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@ -25,24 +25,24 @@ My primary toolkit revolves around Python, Go, Kubernetes, Docker, Airflow, DVC,
<h2 align="left">Interests & Continuous Learning ⚙️</h2>
<p align="left">
Beyond my professional MLOps work, I possess a strong intellectual curiosity for <strong>High-Performance Computing (HPC)</strong> and <strong>low-level systems programming</strong>. I am fascinated by the intricacies of how software interacts with hardware to achieve maximum efficiency.
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 — 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/Server-config">here</a>. I enjoy optimizing the stack, getting hands-on with the hardware, and ensuring everything fits together perfectly.
<br><br>
This passion drives my current learning endeavors in:
This enthusiasm for low-level systems and high performance drives my current learning endeavors in:
<ul>
<li><strong>Zig:</strong> Exploring its potential for systems programming and performance-critical applications.</li>
<li><strong>Memory Management:</strong> Deepening my understanding of manual and automatic memory allocation strategies.</li>
<li><strong>Parallel Computing:</strong> Actively studying frameworks like OpenCL, CUDA, and potentially OpenGL for GPGPU, to harness parallel processing power.</li>
<li>Investigating compilers, assembly language, and hardware architecture to gain a foundational understanding of system performance.</li>
<li><strong>Infrastructure & Self-Hosting:</strong> Dedicated to mastering the art of building, hosting, and maintaining efficient, reliable systems.</li>
<li><strong>High-Performance Computing (HPC):</strong> Delving into frameworks like OpenCL and CUDA to master parallel processing and harness GPU power.</li>
<li><strong>Memory Management:</strong> Exploring the nuances of manual and automatic memory allocation to craft truly great software.</li>
<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>
<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>
<li><strong>Compilers, Assembly Language, and Hardware Architecture:</strong> Continuously investigating these areas to gain a fundamental understanding of system performance.</li>
</ul>
My ultimate goal is to leverage this knowledge to build exceptionally performant and resilient software systems, potentially at the intersection of MLOps and HPC.
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.
</p>
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<p align="left">
🎯 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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📅 I am committed to daily coding and continuous learning through technical literature and community engagement.
<br>
🎲 Fun fact: I can fall asleep in <1min every night.
🎲 Fun fact: I can fall asleep in &lt;1min every night.
</p>