Education
MSc Data Science and Artificial Intelligence at the University of Liverpool, following a 20-week Pre-sessional English course that helped me bridge into postgraduate study in the UK.
About Jamie
Building across frontend craft, full-stack systems, and applied AI.
I use this GitHub journal to document what I am learning and building across product interfaces, backend services, data analysis, and AI workflow experiments.
Experience
Senior Frontend Developer in Beijing for nearly five years, building Vue-based CRM and advertising workflow systems while leading frontend refactors, component reuse, and delivery quality.
Project Experience
Representative work includes AI-Workflow for agent automation, Magicut for AI-assisted video editing, and UK ageing trends forecasting with ONS data.
Resume Snapshot
- Frontend engineering React, Vue, TypeScript, and JavaScript, with practical work across component architecture, state management, Vite, Webpack, Tailwind CSS, and performance optimization.
- Full-stack delivery Node.js, NestJS, Python FastAPI, PostgreSQL, and Prisma, covering RESTful APIs, BFF layers, data modeling, deployment, and service integration.
- AI, agents, and data LangChain, LangGraph, RAG, Ollama, Qdrant, Pandas, NumPy, scikit-learn, and Recharts, applied through workflow orchestration, forecasting, clustering, and interactive dashboards.
Current direction
My current work connects frontend product thinking with full-stack implementation, data visualization, and applied AI systems. I am especially interested in making technical workflows easier to understand, operate, and reuse.