Summary
Yuning Mao is an experienced NLP and LLM engineer with 11 years of experience, currently a "Vibe Coder" at Meta and a core contributor to Llama 2 and Llama 3 post-training efforts. Their work spans research and product-focused roles in agents, UI generation, and code generation, reflecting a strong bridge between cutting-edge research and deployable systems. Yuning earned a PhD-level background from UIUC and has interned at leading labs including Microsoft, Facebook AI, and Amazon, specializing in parameter-efficient fine-tuning, open-domain QA, and taxonomy construction. Based in Menlo Park, they combine deep technical rigor with high-volume collaboration—hence the polite caveat about delayed replies—and maintain an active focus on NLP and LLM tooling in open-source and internal projects.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Urbana-Champaign
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Shanghai Jiao Tong University
Chinese, Chinese