JINGYI WANG.

Experience & Skills.

Education

University of Southern CaliforniaExpected May 2028

M.S. Integrated Design, Business and Technology

Relevant Coursework: Product Design for User Experience, Machine Intelligence, Mobile Application Development

San José State UniversityGraduated May 2026

BFA, Digital Media Art

Dean’s Scholar (Selected Semesters)

Skills

Product & UX Design

User Research · Interaction Design · Information Architecture · User Flows · Wireframing · UI Design · Prototyping

Development & Prototyping

SwiftUI · Xcode · Firebase Authentication · HTML · CSS · JavaScript

AI & Emerging Tech

Human–AI Interaction · Machine Learning Fundamentals · Arduino · Physical Computing

Design & Creative Tools

Figma · Adobe Photoshop · Illustrator · After Effects · Blender

Internship Experience

Suzhou Jinyue Commerce Co., Ltd.Marketing InternJul 2024 – Aug 2024
  • Supported market and competitor research to understand consumer preferences, brand positioning, and retail trends.
  • Assisted with promotional planning and visual design for marketing campaigns.
  • Contributed to campaign concepts and the preparation of marketing materials.

Selected Projects

FreshlingsTeam product · 2026

Freshlings — iOS Food Management App

Product Design · SwiftUI · Firebase

  • Developed the app’s main SwiftUI screens and implemented Firebase Authentication.
  • Refined interface interactions through hands-on testing and feedback-informed iteration.
AI Room PlannerIndependent concept

AI Room Planner — AI-Assisted Interior Planning

Product Design · Human–AI Interaction · UX Prototyping

  • Designed an AI-assisted room planning experience to help users explore furniture arrangements and compare design alternatives.
  • Developed interaction flows and interface prototypes focused on user preferences, recommendations, and decision support.
DECODEIndependent project

DECODE — Food Recall Information Design

Product Design · Information Architecture · Physical Computing

  • Designed a mobile scanning concept that translates complex food recall notices into understandable product information and actionable guidance.
  • Explored a kitchen-based notification device through Arduino LED experiments and Blender visualizations, proposing a physical extension of the mobile experience.