Summary
Jiaming Liu is a software engineer with 12 years of experience blending applied mathematics and production engineering, currently building systems at Amazon from Seattle. Trained in dynamical systems and numerical methods (MS Applied Mathematics, Columbia; BA Mathematics, UW), he has applied PDE- and data-driven modeling to real-world problems, including a patented industrial device now deployed in five factories. His hands-on internships span data preprocessing and time-series failure prediction at DXC to designing RL-based trading agents and risk-factor models that delivered strong backtested returns at Techfin.ai. Jiaming combines rigorous mathematical intuition with practical software skills—SQL, Python, ML and RL—to move models from prototype to production. An early passion for climate modeling informs his interest in high-impact applied math and systems that scale beyond academia.
12 years of coding experience
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at University of Washington
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Columbia University in the City of New York