Summary
Zeyu Liu is a Senior Software Engineer II with eight years of experience designing and operating large-scale distributed systems, currently focused on Kafka KRaft metadata services at Confluent in the San Francisco Bay Area. He has progressed through backend and metadata roles at Confluent, contributing to Kafka metadata, KRaft, Zookeeper migration, observability with OpenTelemetry, and cloud platform infrastructure including Kubernetes, Helm, and Terraform. His background includes impactful internships at ByteDance and Alibaba where he optimized big-data models and implemented a SuRF range-filter in HBase, driving measurable improvements in throughput and revenue-driving ML models. A UC Berkeley EECS graduate with additional study at Cornell, he blends strong systems engineering with data-driven optimization and a track record of shipping production-critical infrastructure. Notably, he pairs deep kernel-level and distributed-systems experience with practical cloud-native tooling, making him adept at both performance tuning and scalable platform design.
8 years of coding experience
5 years of employment as a software developer
Master's degree EECS, Master's degree EECS at University of California, Berkeley
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Wuhan University
Yali High School
Exchange student Computer Science, Exchange student Computer Science at Cornell University