Zheyuan Yu is a Computer Science and Mathematics student and quantitative researcher with eight years of hands-on experience across financial data analytics, computer vision, and ML-driven strategy development. Based in Singapore, he has built end-to-end AI agent pipelines for automated strategy backtesting at MS Capital and designed VAE-based image compression models during a computer vision internship at Huawei. He combines competitive programming and Olympiad-level problem solving with practical data engineering—optimizing Snowflake SQL workflows and creating Tableau dashboards at Temasek—to turn messy financial data into testable trading hypotheses. Comfortable moving from research to production, he focuses on feature generation, custom loss design, and alpha-signal evaluation, and often blends signal-driven finance with state-of-the-art representation learning techniques.
8 years of coding experience
Computer Science, Computer Science at University of Cambridge
International Bilingual School at Hsinchu-Science-Park
High School Diploma, Honors in Mathematics and Majors in Physics, Computer Science, and Chemistry, High School Diploma, Honors in Mathematics and Majors in Physics, Computer Science, and Chemistry at NUS High School of Mathematics & Science
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