Zeyu Li

Proficient in type-safe development with TypeScript, deep understanding of JavaScript async programming

Building modern web applications with React ecosystem, familiar with SSR and CSR

Understanding Vue's reactivity system, capable of developing and maintaining large Vue projects

Mastering dependency injection and modular development in Angular, experience with enterprise applications

Developing RESTful APIs with Node.js, understanding event loop and async programming model

Designing and implementing REST-compliant APIs with focus on security and scalability

4 years of Java development, proficient in Spring Boot/Cloud microservices, deep understanding of OOP design patterns

Completed TUM systems programming course, implemented memory allocator, thread library, HTTP server and Shell, proficient in Linux systems programming and performance optimization

Deep understanding of distributed systems theory, implemented consensus algorithms in Go, familiar with Paxos, Raft protocols, practical system design experience

Proficient with Kafka, Redis, RocketMQ, RabbitMQ, ZooKeeper, understanding of their internal mechanisms

Mastery of gRPC, HTTP, WebSocket protocols, experience in network server development

Understanding of concurrent programming models, proficient with Linux performance analysis and tuning tools, experience in high-performance system design and optimization

Experience in enterprise ERP system plugin development, proficient with C# and .NET framework, familiar with enterprise application architecture

Expert in MySQL optimization and internals, proficient with PostgreSQL and MongoDB, understanding of distributed database partitioning and redundancy design

Proficient with GitLab CI/CD workflows, automation scripts, and DevOps best practices

Experience with Docker, Docker-Compose and Kubernetes, capable of writing Dockerfiles and orchestration configs

Worked with Google Cloud, AWS, Azure, understanding of cloud-native architecture and scaling strategies

Python automation scripts for system monitoring and maintenance, familiar with common DevOps tools

Understanding of neural network architectures, familiar with CNN, Transformer models, and deep learning frameworks

Proficient in clustering algorithms, linear models, decision trees, SVM, and model evaluation techniques

Understanding of prompt engineering and fine-tuning, experience with RAG systems using LangChain, familiar with LLM application development