A useful fraud detection workflow needs review states, explainability, data quality, and user trust around the prediction.
I use writing to clarify how I approach engineering work: what problem the software is solving, where the technical boundaries are, and how the final product should behave for real users.
Strong engineering writing should make tradeoffs visible. It should explain the system, not just celebrate the stack. The pieces I publish here are notes I would want to read if I were onboarding into a project — a way to see how I think before I show up in a standup.
This note will grow into a fuller write-up. For now, the category, read time, and tags above describe the shape of the topic. Reach out if you want to compare notes on it.