
Miriam Shem developed a robust CPIMS Helpline Abuse Adapter for the openchlsystem/openchscfc repository, focusing on seamless integration of helpline abuse case data into CPIMS. She implemented comprehensive data mapping and verification using Python and Django, with detailed testing guides and sample payloads to ensure reliability. Her work included refactoring the adapter to enhance location mapping through geo-lookup, expanding risk level support for both textual and numeric values, and removing a transcription dependency to streamline onboarding. By strengthening error handling and logging, Miriam improved API compatibility and data quality, demonstrating depth in backend development, API integration, and system integration.

Month: 2025-09 — Focused on delivering a robust CPIMS integration layer for abuse case data in the openchlsystem/openchscfc repository. Key features include a new CPIMS Helpline Abuse Adapter with data mapping, testing guides, sample payloads, and Python verification scripts, accompanied by comprehensive error handling and logging. A subsequent refactor enhances location and risk mappings, adds reporter location codes via geo-lookup, removes a transcription dependency, and broadens risk level mapping to support both textual and numeric representations. These changes improve CPIMS API compatibility, data quality, and maintainability, enabling faster onboarding of helpline data into CPIMS and stronger traceability.
Month: 2025-09 — Focused on delivering a robust CPIMS integration layer for abuse case data in the openchlsystem/openchscfc repository. Key features include a new CPIMS Helpline Abuse Adapter with data mapping, testing guides, sample payloads, and Python verification scripts, accompanied by comprehensive error handling and logging. A subsequent refactor enhances location and risk mappings, adds reporter location codes via geo-lookup, removes a transcription dependency, and broadens risk level mapping to support both textual and numeric representations. These changes improve CPIMS API compatibility, data quality, and maintainability, enabling faster onboarding of helpline data into CPIMS and stronger traceability.
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