Summary
Chen Ling is an applied scientist with a decade of experience bridging academic research and production AI, currently building shopping-focused LLM agent workflows and evaluation pipelines at Amazon. With a PhD from Emory and a strong publication record across ICML, NeurIPS, ICLR, ACL and others, Chen specializes in graph data mining, neural machine reasoning, and LLM trustworthiness. Past roles at AWS, NEC Labs, iFLYTEK and IBM reflect a pattern of translating cutting-edge research into domain-specific models and security-aware NLP systems. Notably, Chen led post-training experiments to improve LLM reasoning and created internal shopping benchmarks—skills that combine rigorous evaluation with practical tooling. Based in Sunnyvale, Chen brings both deep academic rigor and hands-on engineering to large-scale, production ML problems, guided by a lifelong learner mentality captured on their personal page.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Vermont
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Emory University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Delaware
English, Chinese