Senior Full-Stack Engineer with 7+ years of experience building and scaling production-grade applications across multiple regions. I specialize in designing robust, maintainable systems that balance performance, scalability, and developer experience — and in shipping them end to end, from schema to interface.

• 🎨 Frontend Excellence: React, Next.js, TypeScript, State Management (Redux, Zustand, Context API)
• ⚙️ Backend Mastery: Node.js (Hono, Express), Elixir (Phoenix, Ash) - choosing the right tool for each domain
• 🏗️ Architecture: Microservices, Event-Driven Systems, Clean Architecture, Domain-Driven Design
• ☁️ DevOps & Cloud: Docker, Kubernetes, CI/CD, Infrastructure as Code
• 🤝 Collaboration: Technical decision-making, design docs & RFCs, thorough code review, mentoring
• ✅ Quality First: TDD/BDD, E2E Testing, Performance Optimization, 安全 Best Practices

• 🔨 Building scalable microservices architectures with multi-region deployment strategies
• 🌐 Shipping high-performance web applications with exceptional UX
• 🎓 Mentoring engineers and raising the bar on code quality and testing

Actively building depth in these — early days, and enjoying the beginner's seat again:

• 🤖 AI Engineering: RAG pipelines, LangGraph agent orchestration, embeddings & vector retrieval, prompt and context design
• 🐍 Python & FastAPI: async APIs, Pydantic validation, dependency injection — mostly as the substrate for AI services
• 🦀 Rust: working through ownership, borrowing, and lifetimes; the fundamentals before the frameworks

const frontend = {
  frameworks: ["React", "Next.js", "React-Native"],
  languages: ["TypeScript", "JavaScript (ES6+)"],
  styling: ["Tailwind CSS", "CSS Modules", "Styled Components"],
  stateManagement: ["Redux Toolkit", "Zustand", "React Query", "Context API"],
  testing: ["Vitest", "React Testing Library"],
  build: ["Vite", "Webpack", "Turbopack"],
};

const backend = {
    languages:     ["Node.js", "Elixir"],
    frameworks:    ["Hono", "Express", "Phoenix", "Ash"],
    databases:     ["PostgreSQL", "MongoDB", "Redis"],
    messageQueues: ["RabbitMQ", "Redis Streams"],
    apis:          ["REST", "GraphQL", "WebSocket"],
    testing:       ["ExUnit", "Mocha"],
};

learning = {
    "orchestration": ["LangGraph", "LangChain"],
    "rag":           ["chunking", "embeddings", "vector search", "reranking"],
    "serving":       ["Python", "FastAPI", "Pydantic", "async/await"],
    "practices":     ["prompt design", "context engineering", "evals"],
}

// Learning the fundamentals before reaching for frameworks.
struct Learning {
    language: &'static str,      // Rust
    focus: [&'static str; 4],    // ownership, borrowing, lifetimes, traits
    stage: Stage,                // Stage::Beginner
}

infrastructure:
  containerization: [Docker, Kubernetes, Docker Compose]
  ci_cd: [GitHub 操作, GitLab CI, Jenkins, ArgoCD]
  monitoring: [Prometheus, Grafana, Sentry]
  iac: [Terraform, Pulumi, AWS CDK]
  databases: [PostgreSQL, MongoDB, Redis, Elasticsearch]

• Separation of Concerns: Clear boundaries between layers (Presentation, Business Logic, Data)
• Dependency Inversion: High-level modules don't depend on low-level modules
• Testability: Business logic isolated from frameworks and external dependencies

• Domain-Driven Design: Services organized around business capabilities
• Event-Driven Communication: Async messaging for loose coupling
• API Gateway Pattern: Centralized routing, auth, and rate limiting
• Circuit Breakers: Resilience and fault tolerance built-in

• SOLID Principles: Applied rigorously across all codebases
• Test-Driven Development: Tests written before implementation
• Code Reviews: Mandatory peer reviews with architectural discussions
• Documentation: Comprehensive ADRs (Architectural Decision Records)

• 👥 Collaborate with distributed teams across multiple time zones
• 📖 Write the onboarding docs and ADRs that keep new engineers unblocked
• 🎯 Champion code review culture and engineering best practices
• 📊 Use metrics to find bottlenecks and drive performance improvements

I'm always interested in discussing:

• 🏗️ Architecture & System Design: Scalability patterns and best practices
• 🚀 Performance Optimization: Making applications blazing fast
• 👥 Engineering Craft: Code quality, testing strategy, and mentoring
• 🔧 新建 Technologies: Exploring cutting-edge tools and frameworks
• 💼 Collaboration Opportunities: Open-source projects and consulting