Machine Learning Pipeline Code Review (Python + MLflow)
For ML engineers: audit pipeline from ingestion to deployment with data leakage detection, model registry, serving API, and drift monitoring.
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Model: claude-opus-4-8
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Knowledge: 2026-Q2
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Reviewing Churn Prediction pipeline before production; adding MLflow tracking; diagnosing model degradation
#Machine Learning#MLflow#Python#MLOps#Pipeline
Built-in quality guards
Anti-hallucination
Never invent APIs, functions, or libraries
Format Check
Code runs as-is without modification
Code Completeness
No TODO comments or stubs
Security Check
OWASP Top 10 considered in code