🧪 MLOps

ML lifecycle platform. Experiment tracking, model registry, deployment, and reproducibility.

Machine learning toolkit for Kubernetes. End-to-end ML workflows on cloud-native infrastructure.

Data Version Control. Git for data and ML models. Track experiments and build pipelines.