Industrial AI Practice | Cloud-Native Architecture | YOLOv8 + LLM + FastAPI
AI 应用开发工程师，专注于工业视觉检测、RAG 系统、Python 后端开发。15 年技术经验，从传统软件架构到现代 AI 工程化实践。
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Combines YOLOv8 vision models with general LLM for online defect detection and judgment
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Enterprise knowledge base + Text-to-SQL + Agent RAG implementation
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UMAP dimensionality reduction + HDBSCAN clustering, high-dimensional data visualization
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Stand-alone Python package with GPU-accelerated inference
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| AI/ML | Python Backend | Cloud-Native |
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| RAG · LLM · PyTorch | FastAPI · Django · Async | Azure · Serverless · Docker |
| Agent · Text-to-SQL | RESTful · Celery · RabbitMQ | CI/CD · ML Endpoint |
| YOLOv8 · ONNX | Pydantic · PostgreSQL | DevOps · Monitoring |
- Diffusion Models & Real-time AI pipelines
- LLM fine-tuning & multimodal systems
- RAG optimization techniques
- Defect Detection Platform - Production-ready visual inspection system
- RAG Q&A System - Enterprise knowledge base with natural language query
- AI Inference Engine - Optimized inference for edge deployment
Scan to connect:
AI Application Engineer | 2010 - Present
- 15+ years in software development
- Specialized in AI/ML engineering (5+ years)
- Delivered 10+ production AI systems
- Expert in Python backend architecture
Key Achievements:
- 🏆 Reduced defect detection cost by 60% (YOLOv8 + LLM)
- 🏆 Built RAG system supporting 10K+ documents with <2s query time
- 🏆 Optimized inference pipeline achieving <50ms latency
- 🏆 Led development of 5+ open-source projects
Bachelor's Degree in Computer Science Focus on Software Engineering & AI
- 🚀 Open Source Contributor - Maintaining multiple AI/ML projects
- 📖 Technical Writer - Sharing insights on AI engineering
- 🎯 Problem Solver - Turning business challenges into AI solutions
- 🤝 Team Player - Collaborated with cross-functional teams
"Building intelligent systems that solve real-world problems"
Updated: March 2026