Engineer-turned operator working on strategic GTM & partnerships for technical AI — reading buyers, founders, and ecosystems across the US and Asia, then turning that judgment into commercial motion.
工程师出身，转做运营。手上的事一直是技术型 AI 的战略、GTM 与合作 —— 在中美两边读买方、读创始人、读生态，把这份判断推到生意层面。
Read where demand, trust, budget, and narrative actually break — then translate into ICP, positioning, and field bets.
看清需求、信任、预算、叙事真正断的地方 —— 再翻成 ICP、定位与一线打法。
Find credible resource, ecosystem, and distribution angles. Not vague BD — specific lanes with named counter-parties.
找可信的资源、生态、渠道入口。不是模糊的 BD —— 要有具体的合作方，要有真实的理由。
Use AI systems to make research and learning faster — Claude Code, Codex, custom intel pipelines. Workflow as a tool, not the identity.
用 AI 系统让研究和学习更快 —— Claude Code、Codex、自己搭的情报管线。工作流是工具，不是身份。
Built the GTM motion behind a Series A AI platform's first $3M of NA-sourced ARR.
做出一家 Series A AI 平台在北美的第一条 GTM 路径，从零跑到 $3M ARR。
A venture-studio engine that turns scattered market signals into ranked, auditable opportunities.
把散落的市场信号转成可审计、可排序的机会 —— 一套 venture-studio 引擎。
An AI-assisted contribution intelligence layer — Claude reads commits, methodology stays auditable.
让 Claude 读 commit，把工程产出读成可被反问的方法论。
I studied electrical engineering in Nanjing, then computer engineering at Duke. Built embedded systems, wrote software, watched friends launch hardware companies. The interesting question was never the engineering — it was always: why do buyers pick this and not that?
That question is harder for technical AI products than for almost anything else. Buyer language is unsettled. Reference architectures shift quarterly. The right partnership in March can be irrelevant by August. Operators who can read that velocity — and pull a CEO into the right rooms — are the ones who keep technical companies on the rails.
That's the lane. Strategic GTM and partnerships for technical AI, with enough engineering literacy to be dangerous, and enough field time to know which signals are real.
我在南京读电子工程，后来去 Duke 读计算机工程。搭过嵌入式系统，写过软件，看着身边几个朋友做硬件创业。真正让我上心的从来不是工程本身 —— 而是：买方为什么选这家，不选那家？
对技术型 AI 产品来说，这件事尤其难。买方的语言还没定下来，参考架构每季都在变，三月对的合作到八月可能就没意义了。能跟上这种节奏、能在对的时间把 CEO 带进对的对话的运营者，才是把一家技术公司稳住的人。
这就是我的本行：做技术型 AI 的战略 GTM 与合作 —— 懂工程的语言，也有足够的一线时间，能分辨哪些信号是真的。