Summary
Daisy Zhou is a seasoned backend software engineer with 13 years of experience building distributed systems and reliable data pipelines, currently contributing to Discord's platform. Her background includes designing distributed asynchronous processing at Dropbox and working on production data pipelines, Kafka-based queuing services, and in-house logging infrastructure. She began her career enabling model deployment and data pipelines at WibiData, contributing to the open-source KijiExpress project and managing enterprise deployments. Based in Greater Sacramento with dual training in cognitive science and computer science from UC Berkeley, she blends systems-level engineering with a user-minded perspective. Colleagues describe her as a pragmatic generalist who surfaces practical improvements across complex, high-throughput systems.
13 years of coding experience
5 years of employment as a software developer
Bachelor of Arts, Cognitive Science, Bachelor of Arts, Cognitive Science at University of California, Berkeley