- 🏫 4 years of coding experience
- 🤖 Currently working on AI Agent development
- 🚀 From backend engineer to AI application builder — turning LLMs into production-grade systems
- 💬 Ask me about: LLM apps, RAG, Agent orchestration, microservices, data warehouses
- ⚡ Fun fact: I let AI write the boring code so I can focus on the interesting problems
- Hands-on experience designing and shipping enterprise-grade LLM solutions in production
- Solid command of the full LLM development lifecycle: framework design & usage, prompt engineering, RAG (Retrieval-Augmented Generation), tool calling, memory design, and workflow orchestration
- Proficient with LangChain, LangGraph, Spring AI, Spring AI Alibaba, and AgentScope — capable of extending and customizing these frameworks
- Skilled with low-code AI platforms such as Dify and Coze, including hands-on experience with private (self-hosted) Dify deployment
- Strong command of Python / Java, with solid grounding in asynchronous programming, multithreading, and concurrency control
- Build RESTful APIs with mainstream web frameworks such as FastAPI and Spring Boot
- Comfortable with microservice architecture: service discovery, API gateways, circuit breaking, and rate limiting
- Deep understanding of MySQL / PostgreSQL — index optimization, transaction isolation, sharding, and SQL tuning
- Use Redis for caching, distributed locks, and message queues, with the ability to design cache-consistency strategies
- Experienced with Kafka / RabbitMQ for reliable messaging and system decoupling
- Expert-level use of Spring, Spring MVC, MyBatis, and MyBatis-Plus
- Proficient in Spring Boot, with working knowledge of Spring Security
- Practical experience with the Spring Cloud microservices ecosystem and its associated tooling
- Solid foundation in Java core: data structures, algorithms, and common design patterns
- Build frontend pages with Vue + TypeScript
- Familiar with core JS concepts: closures, prototype chains, and asynchronous programming
- Experience building data warehouses, with dimensional modeling and layered design (ODS / DWD / DWS / ADS)
- Familiar with OLAP engines such as ClickHouse and StarRocks for real-time analytics scenarios
- Built a custom task-scheduling framework with end-to-end ETL pipeline capability
- Experienced with DataX for offline synchronization across heterogeneous data sources
- Proficient with Linux — shell scripting, system performance tuning, and troubleshooting
- Strong Docker skills, including writing Dockerfiles and Docker Compose orchestration
- Familiar with Kubernetes: Pod / Deployment / Service / Ingress and other core concepts
- Experience building observability stacks with Prometheus + Grafana, and log analysis with the ELK stack
- Proficient with Git, Git Flow / GitHub Flow workflows, and Code Review practices
- CI/CD experience with GitLab CI and GitHub Actions to build automated pipelines
- Familiar with core AWS / Alibaba Cloud services (ECS / S3 / RDS / OSS) and cloud architecture design
- Boost development efficiency with AI tools such as Claude Code, Codex, Gemini CLI, and Cursor