Software Engineering Undergraduate | Vibe Coding All Stack Development | LLM Applications | Computer Vision
目前是软工本科在读大学牲一枚~项目经历主要有大语言模型应用、垂直领域知识问答、时序预测、校园数字化系统研发。
- 目前聚焦：
LLM + RAG、Text2SQL、LoRA / SFT、Spring Boot后端开发、Vue3前端工程 - 项目经历：水质预测预警模型调优、低空无人机遥感视觉模型调优、学院竞赛管理系统、车辆零部件缺陷视觉检测系统、学院毕设管理系统、WaterQA 水利智能问答平台
Code, coffee, and a little furry energy.
| Project | Role | What I Built |
|---|---|---|
| WaterQA: LLM and RAG for Water Conservancy Safety QA | Project Lead | Designed an integrated workflow for RAG retrieval, LoRA fine-tuning, Text2SQL, and knowledge-base management, enabling collaborative querying over unstructured documents and structured data. |
| Computer College Competition Management System | Main Developer | Built a full-process digital platform with Spring Boot, MyBatis-Plus, Vue3, and Element Plus, covering competition registration, team management, score entry, and award statistics. |
| Vehicle Parts Defect Vision Detection System | Core Member | Participated in industrial defect detection workflows based on deep learning, including data annotation, model training, and system design. |
| Qiantang River Water Environment Prediction and Warning | Research Lead | Built multi-source water-quality time-series datasets and explored long-sequence forecasting with Informer for pH, dissolved oxygen, COD, and warning-threshold linkage. |
- Email: [email protected]
- Telegram: @DoctorAndy
Building useful AI systems for real-world water conservancy, campus services, and industrial inspection.