AI Engineering
Enterprise RAG, AI agents, and automated workflows, along with the evaluations and safeguards they need.
- Enterprise RAG
- AI Agents
- Workflows
- Evaluation
AI Full-Stack Engineer · Forward Deployed Engineer
I'm Dingxin Tao (陶鼎新), an AI Native developer. I studied Computer Science at UC Irvine and am studying Analytics at USC. When I build something, I care about the problem it solves and whether it keeps working once it leaves the demo.
01 — What I do
Enterprise RAG, AI agents, and automated workflows, along with the evaluations and safeguards they need.
Type-safe React and Next.js frontends backed by Node and Python services, streaming APIs, and clean data models.
I work with customers to clarify requirements, connect existing systems, launch, and keep improving the product based on actual use.
02 — Selected work
A video creation workspace, a local-first desktop app, and a model API gateway. Each case study describes the work I actually completed.
03 — Snapshot
05 — Writing
06 — Next step
I'm open to forward deployed engineering and AI engineering roles, as well as selective collaborations.
04 — Live from GitHub
Pulled live from the GitHub API through a cached Next.js route handler.