Hi, I am Qin Tian, a software engineering undergraduate at Hubei University, Manchester Metropolitan Joint Institute.
I am currently exploring backend development, frontend engineering, AI engineering, and data analysis through coursework projects, machine learning experiments, and open-source contribution practice. My recent work focuses on practical AI systems, web platform development, database-backed applications, and reproducible engineering workflows.
- Software Engineering undergraduate, class of 2024
- Major rank: 1st
- Academic average: 91.62 / 100
- Lanqiao Cup Python group: Provincial First Prize
- Software copyright: 1 item
- Open to internship opportunities in backend / frontend / AI engineering / data analysis
| Languages | Python, Java, C, JavaScript, SQL, HTML/CSS |
| AI / ML | PyTorch, YOLOv8, OpenCV, NumPy, Pandas, semantic segmentation, regression modeling |
| Backend / Database | FastAPI, MySQL, REST-style APIs, database coursework projects |
| Tools | Git, GitHub, Linux basics, Render, VS Code, Jupyter Notebook |
| Project | Focus | Highlights |
|---|---|---|
| Lun-Wen | RGB-D semantic segmentation research practice | DFormerV2 / PyTorch / NYUDepthV2 experiments; explored auxiliary losses, feature fusion ideas, and reproducible experiment workflows. |
| study-focus-system | Study focus platform | Built a desktop-first productivity platform with Pomodoro sessions, AI study support, anti-distraction controls, leaderboards, and deployment practice. |
| haiwangxing_FCM | Ship engine multi-output regression | Practiced Excel data processing, fuzzy C-means features, PyTorch regression modeling, and parameter tuning for multi-output prediction. |
| Sky-YOLO lightweight detection system | Object detection engineering practice | Worked with YOLOv8 and PyTorch for lightweight target detection, small-object detection, and model-structure improvement in a competition setting. |
| Big-Data-Homework / AI-homework | Coursework and analysis practice | Jupyter-based exercises covering data processing, modeling, and experiment reporting. |
| Database / Java / Web coursework | Engineering foundation | Practiced MySQL schema design, Java programming, frontend pages, and basic full-stack integration. |
I am building my open-source workflow through small, focused contributions:
- Merged a Matplotlib documentation clarification: matplotlib/matplotlib#31664
- Submitted focused bug-fix / maintenance PRs in Python packaging and database tooling projects
- Practicing the full contribution loop: issue selection, local reproduction, minimal patch, tests, review response, and PR maintenance
| Primary direction | Backend engineering, AI engineering, data analysis, and practical web systems |
| Open-source practice | Merged Matplotlib PR; submitted focused bug-fix and maintenance PRs in Python packaging and database tooling projects |
| Project style | Small reproducible experiments, course projects, deployment practice, and readable engineering records |
- Strengthening backend and database fundamentals
- Improving practical AI engineering skills with PyTorch-based projects
- Turning coursework and competition projects into cleaner, reusable repositories
- Continuing small, reviewable open-source contributions
- Email: 2788086371@qq.com
- GitHub: github.com/hansu650
Open to backend, frontend, AI engineering, and data analysis internship opportunities.