Interview
summary
Built an interoperability layer connecting Salesforce core storage to ML pipelines that maps and preserves every field type and representation for downstream algorithms, implemented in Scala with heavy use of abstractions and unit testing to achieve near‑zero runtime mapping failures. Describes concrete tooling for serialization and field mapping, ten years of Scala experience, and practical use of category theory in Scala and robust test-driven abstractions to make production ML data reliable.
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