Prefer to read? Full introduction
Hi, I’m Jiayu, but I go by Julie. I’m a Harvard GSD student, and my background brings together product, AI engineering, and design. I also take courses at MIT, and I’ve interned at Microsoft, Lovart, Meituan, and Xiaomi.
I’ve always loved math and physics, but I also wanted to bring my ideas to life and test them in the real world. That led me to study design with a minor in computer science. After winning a software competition, I became interested in building products and understanding how ideas become things people can actually use.
Since then, I’ve deliberately moved between design, engineering, and product. I’ve worked on training data design, conversational and recommendation strategies, agent evaluation, and the diagnosis of user-facing problems. I’ve learned to trace a problem back to its source, whether that is the model, the context, the tools, or friction in the user journey. I’m now adding a commercial perspective through a startup go-to-market project in an MIT Sloan course.
I don’t see “AI-native” as a fixed identity. To me, a strong AI PM is not someone who claims to know everything. It is someone who is willing to learn difficult technical foundations, is honest about what they do not know, and can turn that understanding into better product decisions.
Outside of work, I love hiking and photography. I especially enjoy walking through cities and observing everyday life, including the small habits of people and designers. Each discipline and experience has left a mark on how I look at the world, and that habit of close observation has stayed with me.
I’ve been lucky to learn from peers and mentors who give honest feedback and dig deeply into problems. They have shaped the kind of teammate I want to be: someone who listens carefully, asks useful questions, and helps turn understanding into something worth building.