Hi, I’m Kieu 👋

Data Scientist turned MLOps Engineer

10 years building ML systems | From Jupyter notebooks to production at scale

What I Do

I help data scientists deploy their models to production without drowning in DevOps complexity. After spending 10 years in data science and countless hours wrestling with Kubernetes, Docker, and AWS, I’ve learned one thing: analogies beat documentation every time.

This blog is my way of sharing those hard-won insights. Complex infrastructure concepts explained through simple mental models that actually stick.

My Journey

2022-Present: MLOps Engineer

AI/ML Consulting Company, France

  • Leading team of 5 developers
  • Migrating local servers to AWS
  • Building production ML infrastructure (Kubernetes, Terraform, AWS, GCP, Azure, Databricks)
  • Deploying real-time inference APIs at scale

2016-2021: Data Scientist

Various Companies

  • Built ML models: customer churn, recommendation systems, computer vision, search engine
  • Gradually learned: Great models are useless if you can’t deploy them

Let’s Connect

Want to chat about MLOps?

Looking for:

  • MLOps engineers sharing battle stories
  • Data scientists making the transition
  • EU companies building cost-effective ML infrastructure
  • Feedback on the blog (what’s helpful? What’s missing?)

Last updated: November 2025