Summary
Zhe Jin is a seasoned software engineer with roughly a decade of experience delivering high-performance Java EE systems and large-volume data processing solutions for multinational firms. He has a strong track record in performance tuning, concurrent programming, JVM optimization and batch/ETL workloads—having cut major job times and tuned GC and serialization in production at Morgan Stanley and Coupang. Recently he has been self-studying and building practical expertise in big data technologies (Hadoop, Spark, Hive, HBase, Kafka) and has curated code, notes and source explorations on his evolving Github site. Comfortable owning end-to-end delivery, Zhe pairs deep hands-on debugging and profiling skills with pragmatic design and automation in fast-paced teams. He is methodical about knowledge organization and continuous improvement, evidenced by a public knowledge system and steady self-driven transitions into big data. Based in Shanghai, he combines enterprise-grade experience with rapid learning and readiness to contribute to production big data projects.
9 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Software And Theory, Master's degree, Computer Software And Theory at Jilin University
English, Chinese