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# Adrien Bouvais ### Hi, I'm Adrien Charles Bouvais 👋
Senior MLOps Engineer. I architect and automate robust, scalable machine learning lifecycles for enterprise clients (with a strong focus on the financial sector). I'm a Software Development Engineer who loves to design and build high-performance, scalable distributed systems from the ground up. My passion lies at the intersection of High-Performance Computing (HPC), low-level systems programming, and efficient ML infrastructure.
**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](https://git.bouvais.lu/adrien/Selfhosted-config)), exploring High-Performance Computing (HPC) and kernel intricacies, and building projects like [ZipponDB](https://git.bouvais.lu/adrien/ZipponDB) - a database crafted entirely in Zig for simplicity and efficiency. * 🔭 **I'm currently building:**
* [**ZipponDB**](https://github.com/your-username/zippondb-link): A database engine in Zig to master low-level data systems.
* [**S3-Lite**](https://github.com/your-username/s3-lite-link): A portable S3-compatible object storage in Zig & SQLite.
* GPU-accelerated applications with **CUDA** and exploring **OpenCL**.
I am eager to lead the design of cutting-edge MLOps solutions and contribute to complex, performance-critical open-source projects. * 🧠 **My Core Focus:**
* **High-Performance Computing:** Optimizing code for massive parallelism with CUDA/OpenCL.
* **Low-Level Systems:** Building efficient, memory-safe software with Zig and C++.
* **Distributed ML Systems:** Architecting and building the infrastructure for scalable AI.
💼 **For professional inquiries & consulting, please contact me at:** `consulting@bouvais.lu` * 📫 **How to reach me:**
* **Email:** [contact@bouvais.lu](mailto:contact@bouvais.lu)
* **LinkedIn:** [linkedin.com/in/your-profile](https://www.linkedin.com/in/your-profile)
* **Website:** [bouvais.lu](https://bouvais.lu)
---
### My Tech Stack
| Languages | ML / HPC | Infrastructure / DevOps | Databases |
| ------------------ | --------------------- | ----------------------- | ---------------- |
| Go | PyTorch / Keras | Kubernetes / Docker | PostgreSQL |
| Python | CUDA / OpenCL | AWS / GCP | Oracle / MySQL |
| Zig / C++ | Numpy / Pandas | Terraform / ArgoCD | MongoDB / SQLite |
| Java / SQL | LLMs / RAG | GitHub Actions | EdgeDB |