About
AI full-stack engineer. This page shows what I've done and how I work.
Years of building web products. Crossed e-commerce, fintech, supply chain, industrial systems, and now AI products. Led frontend teams, shipped internal component libraries and shared toolkits. These days doing full-stack end-to-end: from requirements to live product. Past year: AI agents, LLM workflows, building with the tools as they evolve.
Architecture first, requirements second. Draw clear module boundaries and set rules before you write a single line.
Standards live in the codebase, not in a doc nobody reads. Unify them across the team and let them evolve with the project.
Commit history, changelogs, and release notes are first-class artifacts. Document them properly and keep them consistent.
Regular code reviews. Not a ceremony, just a habit.
Professional Journey
Building products independently, full cycle from idea to launch. Exploring AI agents and automation workflows.
Led frontend architecture refactoring for large-scale products. Used AI tools to assist code analysis and technical documentation.
Built complex enterprise systems across supply chain, industrial, and infrastructure domains. Developed internal component libraries and toolkits adopted company-wide. Moved into full-stack delivery with Node.js and PostgreSQL, handling deployment and server operations. Recent focus on AI integration.
Worked on blockchain financial products including trading platforms and node management systems.
Led a small team building PC web apps, mobile shopping platforms, and Node.js backends. Handled App Store submissions and set up frontend architecture.
Started with e-commerce and WeChat mini programs. Built a solid foundation in frontend development.
Open to role opportunities, scoped collaboration, and engineering discussions.
Open to senior frontend/full-stack roles where architecture and execution quality matter.
Best for a scoped module, architecture upgrade, or technical diagnosis with clear goals.
Happy to discuss engineering practice, AI workflow experiments, or case-study insights.