Gi Kim developed session-based memory management for the awslabs/amazon-bedrock-agentcore-samples repository, focusing on enhancing customer support agent workflows. They introduced a MemoryManager and session manager to retain and reuse user context across interactions, enabling continuity and more efficient memory retrieval and storage. The implementation involved migrating memory helpers to a toolkit-based approach for improved maintainability, updating workshop notebooks and lab content, and refining documentation. Gi tuned memory retrieval relevance to reduce noise in lookups and addressed configuration stability. The work leveraged AWS, Python, and data management skills, demonstrating depth in designing robust, context-aware systems for conversational AI applications.