Engineering Blog

Scaling an ML platform from a single model to a multi-model catalog requires a relational database to manage state and an API boundary to enforce communication. Here is how I built the CQRS API and network isolation layer to scale from scripts to systems.

Data scientists solve the last-mile problem. ML engineers build the road. Here is what the ML platform engineer's piece actually looks like when built from scratch, grounded in 27 architectural decisions and hard-earned production lessons.