I'm Chenwei Jiang, an AI infrastructure engineer working on the systems and operations behind GPU fleets. I build tools and automation that make infrastructure more reliable and incidents easier to resolve.
ENTJ-A
The Commander
ENTJ-A is a useful shorthand for how I tend to work: I like turning ambiguous problems into clear priorities, owning the hard parts, and moving ideas toward execution. A label is only a starting point; the interesting part is how it shows up in real work.
What I work on
My work spans GPU incident response, infrastructure components, and developer productivity. I help teams turn operational pain points into clear ownership, reliable systems, and repeatable workflows.
How I work
I start with evidence, make system boundaries explicit, and prefer the smallest change that fixes the root cause without disrupting what already works. I care about operational clarity as much as the code itself.
Open source
I have contributed to Apache APISIX and other cloud-native projects. My GitHub profile has the code, experiments, and earlier projects that shaped how I work today.
Writing and speaking
I write to make technical decisions and lessons useful beyond the moment they were learned: infrastructure, incident analysis, system design, and the occasional project from my homelab. I also enjoy sharing that work with the community.
At ApacheCon Asia 2022, I spoke about cloud-native trends in APIs and gateways.
ApacheConAsia 2022: API & Gateway Cloud Native Trends
Education
- Bachelor's degree in Software Engineering