Zao TAN

Designed and developed an iOS application with service platform which enables user data detection, prediction, recording, and querying:

• UI/UX Design: Using Figma to create intuitive user interfaces and interactive prototypes to ensure a seamless user experience.
• Frontend Development: Implementing the iOS app using Swift, integrating real-time data interaction and visual feedback.
• Backend Development: Setting up and managing cloud infrastructure on AWS, including EC2 to host backend services and databases.
• Deep Learning Integration: Training models and deploying them within the app.

Trained separate predictive models for blood glucose and uric acid levels using non-invasive Raman spectroscopy data as input and corresponding clinical labels as targets. Achieved high-precision regression performance. A related patent is currently under application.