Zhengyu Yang is a Research Engineer based in Menlo Park with nine years of experience building multimodal and efficient AI systems, currently working at Meta on video understanding, hybrid reasoning, 3D generation, few-shot personalization, and CUDA-level optimization. He brings a strong academic foundation from USC with perfect grades across MS and dual BS degrees in Computer Science and Applied & Computational Mathematics, and a research background as a USC research assistant. Zhengyu blends low-level performance engineering with cutting-edge model research, enabling practical deployment of large-scale vision and reasoning models. Colleagues rely on him to bridge prototype research and production constraints, especially where GPU optimization and multimodal pretraining intersect. Notably, his work spans both algorithmic innovation and hands-on systems tuning, a combination that accelerates model capabilities while keeping inference efficient.
9 years of coding experience
3 years of employment as a software developer
MS Computer Science, BS Computer Science, BS Applied and Computational Mathematics, Mathematics and Computer Science, 4.0/4.0, MS Computer Science, BS Computer Science, BS Applied and Computational Mathematics, Mathematics and Computer Science, 4.0/4.0 at University of Southern California
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