Hello, I’m Zhangxiao.
I study computer science at Beihang University and use software as a way to investigate difficult ideas. ZXLab is the public edge of that process: projects, technical notes, and experiments without a polished ending yet.
See what I am building ↗The short version
I am drawn to work where abstraction meets consequence: evaluating an AI system, making infrastructure reliable, or finding the small algorithmic idea that changes the shape of a problem.
The common thread is a desire to understand—not only how something behaves, but why it was built that way and what would make it better.
Right now
A working philosophy
A clean abstraction means more after I have felt the complexity it hides. The first pass is for contact with the real system.
Automation should increase the quality of attention, not make decisions invisible. I want to know where my choices still matter.
Clear writing exposes fuzzy thinking. Notes turn temporary insight into material that can be questioned, reused, and improved.
Notes to self
I learn fastest when an idea has to survive contact with a real interface, a real user, or a real constraint.
The best tools do not remove judgment. They make room for better questions and more deliberate choices.
A useful experiment can remain incomplete. What matters is whether it leaves the next decision clearer.
ZXLab stays deliberately unfinished.