Summary
Jiewen Zheng is a Senior NLP Algorithms & Deep Learning Engineer with 11 years of industry experience and eight years focused on deep learning and NLP, currently driving AI initiatives at NetEase Games. He designs and deploys production-grade LLM-based chatbots and agentic RAG systems at scale—architecting microservices, Dockerized deployments on AWS, and workflows that serve 10K–100K+ daily users while cutting hallucinations and improving multi-hop QA accuracy. His work spans LoRA fine-tuning, vLLM deployment, intelligent knowledge graph construction, NL2SQL pipelines, and vector DB optimization, and has produced 14 AI patent filings (4 granted) and an ACL 2025 paper. Notable results include raising multi-hop question accuracy from 28% to 61% and reducing hallucinations by over 40% through novel agent task orchestration. He holds an MS in Computer Science from Stony Brook, an AWS ML Specialty cert, and a strong track record in turning complex research into measurable production impact. Colleagues rely on him for combining rigorous metric-driven optimization with practical engineering to bridge gaming UX needs and advanced LLM research.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree, Communication and Information System, 3.82, Master’s Degree, Communication and Information System, 3.82 at University of Electronic Science and Technology
Master’s Degree, Computer Science, 3.78, Master’s Degree, Computer Science, 3.78 at Stony Brook University Graduate School
English, Chinese, Chinese