Shanghai, China 🇨🇳 • INFJ - The Visionary Advocate
"I prioritize deep architectural mastery over superficial breadth—every line of code is driven by the intrinsic desire to solve real-world problems."
- Core Engineering Principles: Object-oriented architecture, algorithmic logic, and scalable design patterns.
- Full-Stack Architecture: RESTful API design, responsive interfaces, and state management mastery.
- Data Engineering: Transactional integrity (ACID), caching strategies, and NoSQL paradigm adaptation.
- Professional Workflow: Git proficiency, containerization fundamentals, and CI/CD pipeline integration.
🌊 Reactive & Concurrent Systems
- WebFlux & Project Reactor: Non-blocking I/O, backpressure management, and reactive stream processing.
- Event-Driven Architecture: Kafka event sourcing, CQRS patterns, and eventual consistency models.
- Resilience Engineering: Circuit breakers, adaptive rate limiting, and distributed saga patterns.
🧠 Artificial Intelligence Integration
- Spring AI Framework: Production-grade LLM orchestration and prompt engineering.
- Vector Intelligence: FAISS integration, semantic embeddings, and advanced RAG pipelines.
- ML Operations: Model versioning, A/B experimentation, and system observability.
☁️ Cloud-Native Excellence
- Kubernetes Mastery: Custom Operators, Service Mesh implementation, and advanced scheduling.
- Microservices Architecture: DDD (Domain-Driven Design), API gateways, and distributed tracing.
- Observability: Prometheus metrics, Grafana dashboards, and ELK stack aggregation.
- 2025火山引擎FORCE大会·冬 三大核心技术:AI原生时代的底层逻辑与实践路径
- Caffeine AsyncCache:响应式架构下(WebFlux, R2DBC, ReactiveRedis)的缓存实践
- 事件驱动:WebFlux、R2DBC,Lettuce Reactive Redis与虚拟线程下的高性能Web项目构建指南
- "关于我"页面创作之旅
- 高维向量检索 Faiss vector database:向量数据库的基石与核心角色 —— 解析 PQ/IVF/HNSW 算法原理、CPU/GPU 底层实现、量化误差模型及动态索引机制,详解其在 RAG / 推荐系统中的价值与工业应用
- Spring Boot项目启动优化
"Driven by idealism, grounded in decisive action—bridging the gap between human intuition and machine intelligence."



