About
I build AI product prototypes that connect user problems, model capability, and demoable workflows.
I am currently pursuing an M.Sc. in AI for Science at the National University of Singapore, with a B.Sc. background in Geographic Information Science from Zhejiang University. This mix of data, modeling, and applied systems shaped how I approach AI products: start from the workflow, not from the model alone.
My strongest projects are the ones where I independently move from idea to MVP: clarify the use case, define the product loop, split AI and non-AI responsibilities, design the interaction, build the system, and prepare it for demo and review.
I am primarily targeting AI Product Manager Intern roles, while also fitting AI engineering or LLM application positions that value product thinking, hands-on implementation, and strong communication of system logic.
What I care about
- Turning model capability into a user journey that can be demonstrated and iterated on.
- Making AI behavior grounded, inspectable, and explainable enough for human review.
- Using MVPs to validate whether an AI idea deserves deeper engineering investment.