George Zhang is a Senior Staff Engineer in the San Francisco Bay Area with 10+ years building high-performance, data-intensive systems across finance, healthcare, and social platforms. He currently focuses on RippleNet performance, infrastructure scalability and cost optimization, and previously designed multi-tenant, cross-DB persistence layers and a DaaS API for global payments. His background spans building machine learning serving and big-data pipelines (Kafka, Spark, Cassandra), leading Hadoop workflow tooling at LinkedIn, and deep database engineering from MySQL tweaks to Oracle RAC and Postgres designs. George combines low-level performance work (C/C++/CUDA experience from analytics prototyping) with cloud-native production practices on AWS, Kubernetes and Aurora. Notably, he has repeatedly bridged analytics and production—turning research prototypes into scalable services—and has a track record of optimizing storage and query formats for large-scale data.
10 years of coding experience
20 years of employment as a software developer
Master, Engineering, Master, Engineering at Huazhong University of Science and Technology
Bachelor's degree, Engineering, Bachelor's degree, Engineering at Shandong University
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