Zixuan (Tony) Zhu is a software engineer at Dropbox with a decade of experience building scalable, data-driven systems and a Master’s in AI from Carnegie Mellon. At Dropbox he has worked across Customer Data Platform and Campaigns teams, applying back-end engineering to large-scale customer and campaign workflows. His internship at Flatiron Health involved building a Kafka-based streaming framework and low-latency Debezium/Samza pipelines that replaced nightly batches and cut AWS costs, highlighting strong distributed-systems and streaming expertise. Proficient in Java and Python, he focuses on reliable, high-throughput services and automation, and has hands-on experience with performance testing in Kubernetes. Based in Pittsburgh, he combines academic AI training with practical production engineering to turn complex data requirements into efficient, maintainable systems.
10 years of coding experience
Bachelor of Engineering - BE, Computer Science and Engineering, Bachelor of Engineering - BE, Computer Science and Engineering at Northeastern University (CN)
Master of Science - MS, Artificial Intelligence and Innovation, Master of Science - MS, Artificial Intelligence and Innovation at Carnegie Mellon University
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