Towards Data Science

• My Model Worked Perfectly. Then I Tried to Make It Useful.

  Turning a trained churn classifier into a FastAPI service that other software can actually call.

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• Tables in PDFs for RAG: Don’t Flatten the Grid

  Enterprise Document Intelligence [Vol.1 #B4] - A diagnostic and five composable operations, not a decision tree

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• Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting

  I built a prompt dependency graph that separates everything a component can reach from the smaller set that actually needs targeted evaluation.

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• How to Solve the Right Problem in the Age of Agentic AI

  A practical framework for reducing uncertainty before agents accelerate implementation

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• Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working

  I built a matcher meant to finish the cleanup that normalization left behind. Testing it against real data showed that no version of it could be made safe. What follows is the architecture that was left once the matcher was set aside.

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