Worked on backend development for the crewAIInc/crewAI repository, focusing on optimizing user-context search within the UserMemory class. Refactored the search process by routing queries through the storage layer instead of relying on memory-level search, which improved both efficiency and accuracy in retrieving user-specific context. This change involved updating the codebase to delegate search operations to storage.search, ensuring that data retrieval aligns more closely with user needs. The work was implemented using Python and emphasized backend architectural improvements. No bugs were addressed during this period, with efforts concentrated on delivering this targeted feature enhancement to the repository’s core functionality.