Worked on the langflow-ai/openrag repository to deliver a feature enabling dynamic configuration of the OpenSearch index name, replacing the previous hardcoded constant with a getter function. This Python-based refactoring updated all relevant code references to support deployment flexibility and reduce environment-specific modifications. By introducing configuration-driven design and modernizing the codebase, the work improved maintainability and streamlined deployment processes across different environments. The approach emphasized clear configuration management and commit-based traceability, leveraging skills in backend development, API development, and OpenSearch integration. No major bugs were addressed during this period, with the focus remaining on enhancing deployment scalability and environment parity.