About me

AI-Native Full-Stack Builder · Agentic Product Developer

Hi, I'm Jiequan Zheng, also known as RunnerQuan. I turn product ideas into working AI applications, from problem framing and UX to model orchestration, backend APIs, evaluation, and deployment.

Focus

Software engineering background, now focused on AI-native product engineering rather than a single backend stack.

I build with LLMs, agent workflows, embeddings, RAG, computer vision, and full-stack web technologies.

Current Interests

AI for careers and work, multimodal applications, responsible AI, human-AI collaboration, and products that keep architecture, testing, observability, explainability, and fallback paths under human control.

AI-Native Toolkit

LLM Applications Agentic Workflows RAG & Hybrid Retrieval Embeddings Prompt Engineering Computer Vision Next.js React TypeScript Tailwind CSS Node.js Fastify Vercel AI SDK Coze Agent Java Redis Docker GitHub Actions MoonBit

How I Build

  1. Real problem
  2. Product hypothesis
  3. AI-assisted prototype
  4. Model, workflow, and interface integration
  5. Evaluation, fallback, and iteration
  6. A usable product, not just a demo prompt
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