Summary
Zeyu Wang is an AI/ML engineer with seven years of experience building production-grade distributed systems, CI/CD platforms, and LLM tooling, currently working at Yahoo and pursuing advanced research at Carnegie Mellon University. He blends systems-level expertise in C++, Java, and Python with cloud and storage knowledge from teaching and research roles on deep learning runtimes and advanced cloud/storage courses. At Yahoo he shipped automated CI/CD infrastructure, CICD telemetry platforms, and prototyped agentic LLM tooling that integrates with internal logs and metrics to automate pipeline debugging and QA. His CMU research focuses on speculative inference and SLO-customized LLM serving, and he has authored kernel work for task-based DNN inference—signals of a rare combination of production engineering and cutting-edge ML systems research. Based in Irvine, CA, he is comfortable moving between hands-on implementation, developer enablement, and publications-driven research.
7 years of coding experience