lucavallinThe blog
Long-form notes on platform engineering, cloud-native infrastructure, the Linux kernel and the messy reality of running AI workloads. Written in the open, occasionally opinionated.
More writing
AI Engineering for Developers
A tour through AI engineering for developers who already know how to ship software. Fourteen chapters, no LinkedIn voice, no slow warm-up. We will go from 'what is a foundation model' to 'how do you run agents in production on Google Cloud' without skipping the parts that matter.
Notes I took while reading "Applied Machine Learning and AI for Engineers" and "Introducing MLOps"
I recently read the books "Applied Machine Learning and AI for Engineers" and "Introducing MLOps", and I took some notes to make a quick summary of all the stuff packed into these books. In this post, I'm sharing my takeaways, from the basics of supervised and unsupervised learning to the more complex areas like deep learning and natural language processing, as well as the core ideas behind MLOps.