Summary
Shuai Zhang is a research-focused software engineer and PhD candidate in Computer Science with nine years of experience spanning cloud systems, distributed computing, and machine learning. Based at The University of Texas at Dallas, he has combined research and teaching—supporting courses from machine learning and AI to cloud computing and algorithms—while working on performance monitoring and management in Net-Centric Software and System Lab. Shuai has hands-on industry experience from internships at Google (on-device ML) and Nokia Research (hand detection and tracking for HCI), bridging academic rigor with practical system and perception work. He is comfortable across the stack of cloud-native monitoring, distributed systems, and ML model deployment, with a background in electronic information and electrical engineering from USTC. Notably, his profile reflects sustained academic engagement alongside short, impactful industry stints that surface real-world constraints into his research. Located in Richardson, Texas, he brings a data-driven, systems-first approach to applied ML and distributed computing problems.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at The University of Texas at Dallas
Master's degree, Electronic Information Science and Technology, Master's degree, Electronic Information Science and Technology at University of Science and Technology of China