Summary
Alice Gao is a research-focused software engineer and PhD candidate in computer science at the University of Washington with a decade of hands-on experience across graphics, backend systems, and AI-assisted design. She has shipped production APIs and microservice integrations at Capital One, built streaming data frameworks and local Docker-testable platforms, and contributed to image-retrieval and model-training pipelines at an AI design lab. Her graphics and simulation work spans OpenGL/GLKit scene graphs and 3D modeling for spacecraft propulsion visualization, reflecting a rare combination of visual computing and systems engineering. Comfortable in Flask, Java testing stacks, and CI-driven deployments, she blends experimental research with pragmatic engineering to move prototypes toward production. Notably, she has translated legacy scientific codes into platform-independent tools and presented work at a major physics meeting, signaling strong domain breadth and communication skills. Based in Seattle, she pairs academic rigor with industry experience to pursue innovations at the intersection of animation, backend architecture, and AI-driven design.
10 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Washington
Union County Magnet High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Princeton University