Summary
Qifeng Zeng is a solution-driven software engineer with 8 years of experience specializing in AI Safety and Trust & Safety, currently a Member of Technical Staff based in Sunnyvale. He has architected large-scale, compliance-ready moderation systems for generative AI and user-generated content at TikTok, delivering the company’s first standardized, scalable moderation solution for AI-generated content and instrumentation for hundreds of QPS. His background spans end-to-end service delivery at eBay—where he emphasized test-driven development, high coverage, and resilient microservices—and research-driven multimodal speech work that yielded a peer-reviewed publication. Comfortable at the intersection of product, policy, and systems, he repeatedly reduces violation rates and aligns global products with evolving safety regulations. He holds an MS in Computer Science from NYU and brings a pragmatic blend of research insight and production-hardened engineering to responsible AI adoption.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
Bachelor's degree Computer and Information Sciences General, Bachelor's degree Computer and Information Sciences General at University of Science and Technology of China