Summary
Lei Ding is a machine learning researcher and architect with 13 years of experience building high-performance, production-ready AI systems across enterprise and academic settings. Currently a PhD candidate at UC Santa Cruz, Lei focuses on LLM-based acting agents—spanning plan generation, action prediction, and execution proxies—to enable autonomous task completion. Previously at SAP he led intelligence and architecture for Cart As A Service (CAAS) 2.0, applying streaming analysis and reinforcement learning to optimize customer purchase operations and designing scalable inference frameworks. Lei’s background blends hands-on systems optimization (including dramatic runtime accelerations on SAP HANA) with research-forward agent design, and he is based in California with a practical interest in macOS tooling.
13 years of coding experience
16 years of employment as a software developer
Master, Computer Science, Master, Computer Science at Sichuan University
University of California Santa Cruz
English, Chinese