Making an AI Integration Portable
How I introduced structured LLM output into an enterprise analytics workflow without moving business rules into the model or coupling the application to one provider.
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Why I chose one design over another.
These are projects where the difficult part was deciding where work should run, what the application should trust, and how the system should fail. Company names and sensitive operational details are omitted.
Selected work
Taking a Data Refresh Out of the API
How I turned a manually run data loader into an asynchronous, auditable pipeline with transactional dispatch, ephemeral workers, and explicit recovery.
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