Summary
Zhongjun Tian is a Staff Software Engineer in Seattle with 11 years of experience building large-scale data and ML tooling for companies like Apple and Amazon. He specializes in big data platforms (Spark, Hadoop, EMR, Glue) and production ML/NLP stacks (Word2Vec, BERT, XGBoost) and has repeatedly driven high-impact services that operate on billions of records. At Amazon he contributed to revenue-driving ad products and at Apple he builds internal tools empowering AIML, services, and SWE organizations. Comfortable across cloud providers (AWS, Azure), containerization, and a wide language set from Java/Scala/Kotlin to Python and TypeScript, he blends deep infrastructure skills with applied ML. He also rewrote long-lived enterprise systems and won a Trimble hackathon award for a heuristic-driven modernization, reflecting a knack for practical algorithmic engineering. His public GitHub (ZhongjunTian) and JonTian.com hint at a persistent interest in sharing tooling and engineering patterns beyond day-to-day product work.
11 years of coding experience
8 years of employment as a software developer
Master of Engineering (M.Eng.) Computer Engineering, Master of Engineering (M.Eng.) Computer Engineering at The University of Texas at Dallas
Bachelor of Engineering (B.E.) ECE, Bachelor of Engineering (B.E.) ECE at University of Electronic Science and Technology of China
Chinese, English