James Ouyang is an AI-focused systems analyst and Waterloo computer science senior with 12 years of industry experience building data-driven products across finance, healthcare, and government. He blends quantitative research and ML engineering—most recently contributing to quant trading at Trexquant and deploying AI systems at Quantile Health—to bridge models and production infrastructure. His background includes applied data science at Transport Canada and accessibility-focused AI work with Microsoft, reflecting a pragmatic approach to real-world, regulated domains. Comfortable across system engineering, data pipelines, and model development, he repeatedly delivers solutions that prioritize auditability and operational reliability. Based in the New York City area, he brings a rare combination of quant instincts and systems-level rigor that speeds model-to-production cycles. Colleagues note his knack for translating complex research into maintainable, production-ready systems.
12 years of coding experience
1 year of employment as a software developer
International Baccalaureate Diploma Program, International Baccalaureate Diploma Program at White Oaks S.S.
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Waterloo
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