Summary
Guangtao Zheng is a Machine Learning and Generative AI Research Scientist with nine years of experience building agentic, trustworthy ML systems and deploying LLM-powered workflows for real-world users. He blends academic rigor from a PhD at the University of Virginia with industry impact—designing multi-agent reasoning, human-in-the-loop feedback loops, and production-ready evaluation pipelines at Accenture and now Hewlett Packard Enterprise. His expertise spans optimizing LLM deployments for latency, cost, and reliability while publishing and open-sourcing research on robustness across vision, language, and genomic data. Comfortable moving models from prototype to scale, he has a track record of integrating planning, tool use, and long-horizon reasoning into enterprise decision support. Based in Mountain View, he brings a rare combination of systems-level engineering, communications theory background, and hands-on experimentation with hardware and simulation from earlier research.
9 years of coding experience
10 years of employment as a software developer
Master of Engineering (M.Eng.), Electronics and Communication Engineering, Master of Engineering (M.Eng.), Electronics and Communication Engineering at University of Science and Technology of China
Bachelor of Science (B.Sc.), Electronic Information Science and Technology, Bachelor of Science (B.Sc.), Electronic Information Science and Technology at Sun Yat-Sen University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia