Maxime L.

My work sits at the intersection of software engineering, MLOps, and scalable infrastructure.

I started out as a freelance fullstack developer, helping startups turn their first ideas into working products. Since then, I’ve specialized in machine learning engineering and MLOps, deploying models, designing robust pipelines, and optimizing performance from training to production.

At my last role in an AI startup, I’ve worked on everything from GPU-accelerated model deployment and autoscaling infrastructure to internal tools that streamline research workflows. I enjoy bridging software engineering and machine learning, making sure complex ideas can actually run efficiently at scale.

I care about clean architecture, automation, and performance. On the side, I experiment with electronics and microcontrollers, and I run my own Kubernetes cluster at home just to keep exploring new ideas.

I like solving hard problems and building systems that can grow.