Martin developed persistent session memory for the rokwire/illinois-app Assistant, enabling the system to retain user context and preferences across multiple interactions. He implemented end-to-end session management by updating the Assistant’s model, service, storage, and UI layers, ensuring coherent and personalized conversations over time. Using Dart and Flutter, Martin integrated local storage and state management techniques to support cross-chat continuity, laying the foundation for goal-driven user experiences. His work focused on clear commit-level traceability and a well-defined feature scope, demonstrating depth in API integration and mobile development while addressing the need for context-aware, engaging assistant interactions without introducing bugs.