Skip to content

ML & Data Projects

This site primarily focuses on DevOps content. Use this page as a placeholder for machine learning and data-related projects you may want to add.

Suggested ML & Data content to include:

  • Model training pipeline examples (CI for data pipelines).
  • Data ingestion patterns and storage best-practices.
  • Monitoring model drift and data quality with Prometheus/Grafana or managed services.
  • Reproducible experiments with containers and versioned datasets.

If you'd like, I can scaffold a simple ML pipeline example (Docker + CI + deploy to a test environment) and add it here.