Martin developed persistent session memory for the rokwire/illinois-app Assistant, enabling the system to retain user context and preferences across multiple interactions. He architected end-to-end session management by integrating changes into the Assistant’s model, service, storage, and user interface, ensuring continuity and coherence in conversations. Using Dart and Flutter, Martin leveraged local storage and state management techniques to support personalized, context-aware responses, addressing the need for goal-driven, cross-chat engagement. The work demonstrated a focused, feature-driven approach with clear commit traceability, reflecting depth in both design and implementation. No bugs were reported or fixed during this period, indicating a stable release.