Zhengyang Feng is a Staff Software Engineer based in New York with 11 years of experience building and scaling production systems across finance, transportation, and AI startups. He has progressed from analyst and quantitative roles at Goldman Sachs and Bloomberg to senior engineering positions at Uber and Momenta, and more recently principal and staff engineering roles focused on generative AI and prediction platforms. Known for expertise in QA of AI-generated code, he blends strong engineering discipline with practical ML-informed approaches to ensure reliable, auditable outputs from automated coding and model-driven systems. Zhengyang’s background in information systems and early hands-on big-data and ML work (including an SVM model and Hadoop deployments during internships) gives him a rare mix of data-first thinking and production-grade software craftsmanship.
11 years of coding experience
11 years of employment as a software developer
Master of Science, Information System, Master of Science, Information System at New York University
Bachelor of Engineering, Logistics Engineering, Bachelor of Engineering, Logistics Engineering at Beijing University of Posts and Telecommunications
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