Tatianna focused on backend development for the bytedance/deer-flow repository, addressing memory management challenges in long-running background subagent tasks. She implemented a cleanup_background_task function in Python that removes completed or failed tasks from memory, targeting only those in terminal states to prevent race conditions. This approach reduced memory leaks and improved system stability under high task churn. Her work included comprehensive testing to validate the cleanup logic and handle edge cases, ensuring robust error handling and reliable task management. Through these efforts, Tatianna enhanced the production reliability of deer-flow, contributing to better uptime and more efficient resource utilization in deployment.