Hi, I’m Zixiong —
Jason works too.
I’m a product designer with four years of experience across UX/UI design, research, and prototyping.
I currently design products at Arsenal AI, where I work on everything from consumer-facing experiences to internal tools and brand touchpoints. I’m especially drawn to complex products that need to feel clearer, more coherent, and easier to use. I also use AI-assisted coding to turn ideas into functional prototypes. I love being able to make an interaction real enough to see, test, and improve.
A little more about me
I was born and raised in Dazhou, a smaller city in southwest China. At Carnegie Mellon University, I studied architecture and human-computer interaction as an undergraduate before completing the Master of Human-Computer Interaction program. Architecture taught me to think in systems, constraints, and spatial relationships; HCI brought that way of thinking closer to people, products, and everyday behavior.
That path is probably why I’m happiest somewhere between structure and experimentation: understanding how something works, then finding a clearer and more human way for it to work.
How I like to work
I like projects where I can understand the problem, shape the system, and stay close enough to the work to see it becoming real.
01Clarity
I try to make complicated products easier to understand, for the people using them and the teams building them. That usually means separating the real problem from the surrounding noise, making decisions visible, and giving each part of an experience a clear purpose.
02Systems
I enjoy finding the underlying structure behind a product: how screens relate, how information moves, which patterns should repeat, and where the system needs room to adapt.
Good foundations save time for the decisions that actually need attention, without forcing every screen to look the same.
03Making
I think best by making things.
Depending on the question, that could mean a rough flow, a polished Figma prototype, or a coded interaction that helps the team understand how the product could work.
The artifact makes an idea concrete enough for people to react to it together.
A small career wish
My long-term career goal is fairly simple: I want to stay hands-on, keep learning, and have fun building things that are both useful and a little bit interesting.
I like the moment when scattered pieces begin to connect: a workflow starts making sense, an interaction finally feels right, or a system begins to run on its own.
AI is changing what “making” looks like, and I’m very happy to let AI do the tedious parts. I just don’t want to outsource the curiosity, judgment, or fun.
Outside the work tab
I’m drawn to things that are enjoyable alone, and somehow even better with someone else around.
That includes strategy and simulation games, listening to a wide range of music, and cooking the food I grew up eating. Cooking Sichuan home dishes is one of the easiest ways for me to feel connected to home, especially after living abroad.
I’m also devoted to niche sports. I’m a die-hard figure skating fan who will happily discuss program construction, judging, edge quality, and competitions from years ago in far too much detail.