BuildWithOm shares end‑to‑end ML stack

- Engineer @BuildWithOm posted an end‑to‑end ML system blueprint using Scikit‑learn for models, FastAPI for serving, Docker for containers and CI/CD for deployment. (x.com) - The thread lays out integration points: model training with Scikit‑learn, API endpoints in FastAPI, Docker images and GitHub Actions CI/CD pipelines attached as examples. (x.com) - This practical stack targets builders wanting reproducible, containerized ML deployments without heavy cloud lock‑in. (x.com)