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data-science-engineering

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End-to-End Event-Driven MLOps Pipeline on Kubernetes. This project automates the entire ML lifecycle: from experimentation and model tracking with MLflow, to automated retraining triggered by MinIO S3 events using Argo Workflows & Argo Events, and seamless CI/CD deployment with GitHub Actions.

  • Updated Mar 24, 2026
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