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artifact-tracking

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This project is a PySpark-based customer churn prediction pipeline that covers the full machine learning lifecycle, from raw data ingestion and preprocessing through model training, evaluation, and streaming inference. It uses MLflow for experiment tracking and artifact management, with a production-focused setup for reproducibility and monitoring.

  • Updated May 9, 2026
  • Python

Crash Override — independent third-party profile of a public API surface, by API Evangelist. Crash Override is a software supply chain security company building a control plane for software development in the agentic era. It monitors code from developers and AI coding agents, inspects builds across CI/CD systems (GitHub Actions, GitLab CI, CircleCI

  • Updated Sep 4, 2026

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