Rio Aguina-Kang

I build AI systems that support human creativity and visual communication. My work draws from Computer Vision, Computer Graphics, and Cognitive Science to create tools that let users generate, edit, and control visual content in ways that align with human intent. I currently work as a Machine Learning Engineer at Drafted, building systems that support personalized floorplan generation.

I graduated from the University of California, San Diego with a degree in Cognitive Science (Machine Learning & Neural Computation), with minors in Mathematics and Data Science. During that time, I worked as Research Staff in the Cognitive Tools Lab @ Stanford with Prof. Judy Fan, where I designed large-scale web experiments to study human–AI interaction and inform the development of creative tools.

I’ve also worked as a Research Scientist/Engineer Intern at Adobe Research with Dr. Matheus Gadelha, where I developed methods for generating 3D scenes from single images using various foundation models. Before that, I spent a summer with the Visual Computing Group @ Brown University, working with Prof. Daniel Ritchie on 3D scene generation systems that leverage LLM program synthesis.

If you’d like to chat, feel free to shoot me an email at raguinakangus@gmail.com. I’d love to connect!