AI APPLICATION ENGINEER
AI Application Engineer & Full-Stack Developer
From architecture to AI, I build intelligent products with system thinking and full-stack engineering
6+
Years Architecture Experience
5+
AI Products Built
900+
Hours AI Engineering Practice
My background in architecture trained me to think in systems, structure, and user experience.
Now I apply that mindset to AI products: clarify the problem, design the flow, build the system, and ship the result.
Focus on designing reliable systems, integrating modern technologies, and delivering practical software solutions.
Turning ideas into AI-powered products from concept to deployment.
Building complete frontend, backend, and data systems.
Building intelligent systems with LLMs, retrieval, and automation.
Turning activity data into insights and measurable decisions.
Building intelligent assistants that improve engineering workflows.
AI applications, full-stack products, and agent experiments demonstrating end-to-end capability from concept to delivery.
AI-powered English learning assistant built on WeChat Mini Program, featuring speech recognition and RAG-based feedback.
Full-stack learning management system with dashboard, user workflow, and API design for tracking study progress.
AI Application Engineer portfolio built with Next.js, Tailwind CSS, and Framer Motion to showcase projects and engineering capabilities.
AI engineering assistant for project analysis, leveraging agent workflow and code understanding for AI collaboration.
AI assistant connecting architecture experience with AI engineering, using RAG knowledge base for technical document generation.
A structured engineering workflow that transforms ideas into AI products through research, architecture, development, and iteration.
Understand users, problems, and real-world scenarios.
Create PRD, user flows, and acceptance criteria.
Define system architecture, data flow, APIs, and AI workflow.
Implement frontend, backend, data systems, and AI features.
Deploy products, fix issues, and continuously iterate.
A curated ecosystem of technologies I use to build intelligent products.
The core technologies and tools I use to design, build, and ship intelligent applications.
Building responsive interfaces and reusable component systems.
Designing APIs, databases, and scalable application architecture.
Building intelligent workflows with LLMs, RAG, and AI agents.
Managing structured data and AI application storage systems.
Deploying reliable products from development to production.
Tools and workflows for efficient engineering development.
I combine product thinking, engineering execution, and AI capabilities to build practical software products.
Starting from user needs and real outcomes, not from writing code.
Delivering end-to-end products across frontend, API, database, and deployment.
Shipping practical AI features — RAG, prompt systems, and workflow automation.
A structured process from PRD and architecture to implementation and iteration.
Keeping goals, scope, and trade-offs clear for predictable collaboration.
Driving real product outcomes, not just shipping code, with continuous improvement.
From Architecture Background to AI Application Engineering, I'm open to opportunities, collaborations, and building intelligent products.
Have an idea, an opportunity, or a product challenge? I'd love to hear what you're building.
Architecture Thinking→AI Engineering→Product Building
