Summary
Cheng Wang is a Senior Applied Scientist and Tech Lead at Amazon with nine years of experience building production-grade conversational AI and LLM systems for customer service. He specializes in making large language models efficient, calibrated, and reliable in real-world deployments, and has led projects ranging from prompt optimization and large-scale automated annotation pipelines to multi-agent simulation environments for Alexa. Cheng combines deep academic pedigree (PhD-level research with publications in ICML, ICLR, EMNLP, ACL and others) with hands-on systems skills in C/C++ and Python and extensive practical experience across TensorFlow, PyTorch and other ML frameworks. He has a track record of translating novel sequential-model research (RNNs, LSTMs, Transformers) into patented prototypes and production features, mentoring PhD interns and junior engineers along the way. Based in Germany, he maintains an active research profile and public codebase, reflecting a rare blend of production delivery and top-tier scholarship.
9 years of coding experience