Summary
Zikai Wang is a Cloud & AI Solution Engineer with 14 years of cross-industry experience building data-driven products and automation at scale. Educated at Tongji University and the University of Chicago (Applied Data Science), he blends rigorous analytics with practical engineering across cloud, BI, and AI agent development. At Amazon he led an LLM-driven supplier identification pilot that unlocked an estimated 11,000+ annual hours and standardized vendor analytics logic, and he now applies that production-focused AI expertise at Microsoft. His background includes finance and forecasting roles (Continental, GM, Deloitte) where he automated heavy data workflows, cutting processing time by up to half and improving forecast/model reliability. Comfortable moving between SQL/Python engineering, Snowflake ecosystems, and low-code automation, he excels at turning messy enterprise data into decision-ready systems. Colleagues rely on him for pragmatic productization of ML prototypes and for reducing operational friction through clever automation.
14 years of coding experience
Bachelor of Science Information Management and Information System, Bachelor of Science Information Management and Information System at Tongji University
The University of Hong Kong (HKU)
Master of Science Applied Data Science, Master of Science Applied Data Science at University of Chicago
University of California, Los Angeles
English, German, Spanish, Chinese