10-year full-stack engineer and team lead. Spent the past year designing and shipping an open-source AI R&D methodology
(
claude-code-workflow) and applying it, unchanged, across three completely different stacks —
React/UmiJS (web), Tauri + Rust (desktop), and Flutter (Android + iOS + HarmonyOS).
I turn generic AI capabilities into production engineering workflows for specific verticals — exactly what an FDE does.
📄 Read the resume
Three versions for different audiences. Pick the one that fits where you found me.
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🎯 Currently looking for
Forward Deployed Engineer / Applied AI Engineer / Solutions Engineer roles at AI infrastructure companies, AI-native startups, or consultancies deploying AI into real customer workflows.
Open to remote · based in Hangzhou, China · willing to relocate · 1-week notice.
🔗 Featured projects
An AI-driven R&D methodology framework. Breaks "Requirements → Design → Code → Test → Deploy" into traceable commands, skills, subagents, and rules. 8-step SDLC with hard gates and a five-part collaboration architecture.
Cross-stack: re-applied without core rewrite across React / Tauri+Rust / Flutter
spider
↗ GitHub · Tauri 2 + Rust
A desktop tool that visualizes any claude-code-workflow repo as a kanban. A meta-tool: built with the methodology to render the methodology.
Rust backend (PTY · scan · watcher · IPC) + React frontend (15 feature modules)
Cpcash Wallet
private repo · walkthrough on request
Web3 mobile wallet shipping from a single Flutter codebase to Android, iOS, and HarmonyOS.
138 commits · 167 tasks closed at 100% · 13 days from init to dev+staging release
📫 Get in touch
The fastest way to reach me:
I respond within 24h.