Product & business modeling
Roles, tasks, workflows, states, billing and exception boundaries, grounded in transactions, membership/teams, enterprise top-ups and supply chains.
Data judgment
Analyze conversion, repeat purchases, acquisition and transaction quality. Check samples, windows, cash and balance definitions, and identify contradictions between metrics.
Frontend & AI collaboration
Working knowledge of HTML, CSS, JavaScript and frontend frameworks. Use AI to advance prototypes, code and material processing, understand implementation constraints and participate in delivery checks.
My approach: take product responsibility, and extend problem-solving through design, data and AI-assisted implementation.
AI IN PRACTICE / CAMPAIGN DELIVERY
An eSIM giveaway moved from request to engineering delivery in one day.
The request arrived at 11:30, the interaction prototype and PRD were ready at 14:00, and engineering completed development at 17:00. I defined claiming, download, activation and commission rules, aligning screen states, data fields and events to reduce repeated explanations.
11:30 · Request14:00 · Prototype & PRD17:00 · Development complete
AI assisted with context, SQL, requirements and prototyping. I confirmed business rules; engineering implemented the code. Reusable scripts, PRD structures and delivery checklists remained for later work.