Flutter Developer specializing in AI-integrated mobile apps — Android and iOS from a single codebase. Computer Science student at Shanghai University of Electric Power (2nd year).
I build apps where the LLM does real work inside the product logic: generating structured data, analyzing user input, personalizing content — not just a chat window bolted onto the side.
System — an AI-powered gamified task manager built with Flutter.
A personal-growth app with RPG mechanics — levels, ranks, titles, an attribute tree, and stat tracking — plus AI-assisted task generation and analysis. Think leveling up your real life.
Flutter · Dart · Riverpod / Bloc · OpenAI / Gemini / DeepSeek
| Project | Description | Stack |
|---|---|---|
| System | AI-powered gamified task manager with RPG mechanics | Flutter, AI APIs |
| Ingredient Analyzer | Reads a product label from a photo, returns a structured ingredient breakdown. Schema-constrained JSON, provider-agnostic AI layer | Flutter, Vision LLM |
| AI_Car_Detail | Desktop app analyzing vehicle data for maintenance advice | Python |
| Geotextile Storefront | Responsive e-commerce concept | Flutter Web |
Mobile & Frontend: Flutter · Dart (Mobile + Web) · Riverpod · Bloc Backend & Tools: Python · REST APIs · Firebase · Git AI Integration: OpenAI · Gemini · DeepSeek · Qwen-VL
- Schema-constrained prompting — models return structured data, not prose
- Graceful degradation when an API times out, rate-limits, or returns malformed output
- Provider-agnostic architecture — swapping the LLM provider is a config change
- Keeping token costs predictable as usage scales
Russian (Native) · English (Fluent) · Chinese (HSK 5)
💼 Open to freelance work in mobile development and AI integration.