Lan Xu

Implemented indoor navigation using pre-built building models and NavMesh, enhancing patient and visitor experience by streamlining navigation in a complex hospital environment.

Developed customizable AR content (text, images, videos) using ARAnchor to highlight key points of interest, improving the usability and engagement of the app.

Implemented local saving and loading of ARAnchor using ARKit's ARWorldMap as well as cross-device AR content sharing via Firebase, ensuring a consistent user experience.

Led technical discussions in client meetings as the lead developer and conducted meetings with 3rd party vendors to evaluate navigation solutions.

Implemented interaction with miniatures(3d models), enabling more engaging and interactive therapy experiences for users, and improving therapeutic outcomes.

Tracked user actions with stacks to enable undo and redo functionality, increasing user confidence and session flexibility, and reducing errors and frustration.

Serialized data into JSON format with custom data structures for local saving and loading, providing persistent session data and supporting seamless continuation of therapy sessions.

Worked in a multi-disciplinary team including project managers, artists, and designers, delivering a well-rounded, user-centered solution that aligned with client goals and therapeutic needs.

Integrated third-party SDKs, including Helpshift for customer service and AdMob for incentive advertising, increasing in-game revenue and improving user support.

Contributed to multi-threaded server logic development using Golang and MySQL, optimizing the game's backend for better performance and scalability.

Utilized Google Protobuf for efficient data interaction, reducing latency and improving real-time communication between game clients and servers.

Perform manual testing and execute test plans while supporting the maintenance and improvement of existing automated testing frameworks to ensure release quality.

Assist with defect management by reproducing issues, investigating root causes, and documenting and tracking bugs to support timely resolution.

Develop scripts and streamline workflows, leveraging automation and AI-generated prompts to increase testing efficiency and reduce repetitive tasks.