Summary
Jonathan Jing is a consultant based in Irvine, CA with 10 years of experience turning advanced AI research into production-grade solutions, currently leading Generative AI PoCs and pilots at Deloitte. He specializes in retrieval-augmented generation, code generation, and robust AI infrastructure—building models and pipelines that move beyond demos to measurable business impact. His background spans academic NLP research on USPTO patents, applied data science internships, and BI automation, giving him a rare mix of research rigor and operational pragmatism. Comfortable translating stakeholder needs into technical specs, he focuses on scalable, maintainable deployments that prioritize reliability in real-world settings.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.)(Candidate), Computer Engineering, Doctor of Philosophy (Ph.D.)(Candidate), Computer Engineering at University of California, Irvine
Bachelor of Science - BS, Automation Engineer Technology/Technician, Bachelor of Science - BS, Automation Engineer Technology/Technician at Nanjing Institute of Technology
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at The George Washington University
Master of Science - MS, Information System, Master of Science - MS, Information System at California State University, Fullerton
Chinese, English