Summary
Jui-an Wang is a computational sustainability-focused engineering professional with 10 years of experience building data-driven defenses against abuse at scale, currently tackling phishing at Meta after leading efforts to fight comment spam at YouTube. With an MEng from Cornell and hands-on experience across Google, startups, and academia, Jui-an bridges data science, systems engineering, and applied ML to design robust pipelines and evaluation metrics for recommender and moderation systems. Past roles include designing scalable crawlers, automated reporting workflows, and API protection schemes, reflecting a pragmatic eye for reliability and maintainability. Comfortable with both backend infrastructure and analytic product metrics, they have repeatedly improved signal quality for large-scale user-facing platforms. Based in San Francisco, Jui-an is approachable and network-oriented—open to coffee chats—and brings a blend of research-trained rigor and production-hardened engineering.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at National Central University
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell University
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell Tech
English, Chinese