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Model Registry & CI/CD for ML

A model registry with automated evals, canary rollout, shadow traffic, and one-click rollback for ML services.

PythonKubernetesCI/CDAWS
Abstract near-black and electric cyan cover illustration for the Model Registry and CI/CD project, showing versioned model artifacts on a cyan promotion pipeline.

Highlights

  • Signed model artifacts with reproducible training metadata.
  • Canary and shadow deploys with automated eval gates.
  • One-click rollback tied to the last known-good registry entry.

Outcomes

  • Reduced bad-model incidents in production to zero over 9 months.
  • Cut release cycle for ML services from monthly to daily.

Stack

  • Python
  • Kubernetes
  • Docker
  • AWS
  • CI/CD