ABOUT ME

What I do

Hi, I'm Aurélien! I'm a Machine Learning Engineer with 5+ years in data roles. I build production ML systems end to end: feature pipelines, model training, deployment, monitoring, and the data platforms that make them reliable. My foundation in Spark, Scala, Python, and cloud data engineering helps me turn models into systems that are accurate, scalable, and maintainable. I especially enjoy problems where ML has to drive a decision while it still matters, including search, recommendations, finance, and fraud detection.

How I learn

I'm a Google Cloud Professional Machine Learning Engineer and AWS Certified AI Practitioner, but the certificates are the smaller half. I write about what I build (Spark internals, streaming architectures, MLOps workflows, and the AI tooling I use day to day) mostly so the next problem is easier than the last one. Everything I write about is something I shipped and debugged myself, not something I read about.

Outside of work

Sports have always been a big part of my life: basketball, football, running. Combining that with data lets me explore performance and strategy for fun, and it's part of why I enjoy applying the same analytical mindset to real-world systems.