AI Coding Engineer / Full-Stack Developer
I build practical business software across the full delivery loop: requirements, workflow modeling, architecture, frontend and backend implementation, testing, deployment, and handoff documentation. My strongest work makes real operations trackable, from logistics and finance workflows to AI-agent tools and local automation.
This site is organized around evidence, not a long repository list. The strongest signal is a delivery-style logistics system with business modeling, role permissions, finance workflows, QA notes, deployment templates, and handoff documentation.
Supporting projects show repeatable ability across mini programs, backend systems, AI-agent workflows, document automation, and open-source AI codebases.
A short preview of the strongest evidence areas. The Projects page separates flagship delivery, external AI collaboration, reusable tools, and broader practice.
A delivery-ready internal system for an overseas freight-forwarding business, connecting shipping instructions, order tracking, cost requests, finance approval, billing, reconciliation, and profit summaries.
Read case studyParticipated in external AI projects including AIAsys and agency-agents, showing repository literacy, maintainer-friendly contribution habits, and AI tooling ecosystem awareness.
View open-source workA public knowledge-asset Q&A workbench for an AI Agent take-home exam, showing product thinking around retrieval, evaluation, and operator-facing workflows.
View repositoryCurrent private repositories point toward compact business tools: CRM workflow, bridge report archiving, and searchable air-conditioner fault-code knowledge.
View recent work