Worked on the google/adk-python repository to address a critical stability issue in VertexAiMemoryBankService by enhancing the search_memory method with robust error handling. The solution involved implementing per-entry skipping and logging for malformed data, as well as iterator-level fallbacks to preserve partial results during API streaming failures. Edge-case guards were added to handle scenarios such as missing or empty memory and update_time fields, preventing crashes and reducing downtime. Expanded unit test coverage ensured reliability across various failure modes. Demonstrated strong backend development skills using Python, with a focus on error handling, unit testing, and collaborative pull request workflows.