Summary
Zihan Xu is a software engineer with eight years of experience and a current master's candidate in Electrical and Computer Engineering at Carnegie Mellon, now based in the San Francisco Bay Area. He builds production-grade full-stack and cloud-native systems, with hands-on expertise in LLM-driven pipelines, real-time data synchronization, and scalable data engineering using technologies like Spring Boot, Redis, Kafka, Docker, Apache Spark, Prometheus, and Grafana. His internships at Alibaba and Shenzhen Shuzhiyunfu produced measurable gains—improving LLM response relevance by 25%, code generation accuracy by 32%, and search performance by 25%—and he recently joined Amazon as a software engineer. Zihan also brings research depth in multimodal Transformer and reinforcement learning models for viewport prediction and bitrate allocation, showing an ability to translate advanced ML research into deployable services. Colleagues describe him as pragmatic and reliability-focused: he favors observability, resilient microservices, and iterative model repair flows to deliver high-quality, performant systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Electrical Information Engineering - Computer Engineering, Bachelor of Engineering - BE, Electrical Information Engineering - Computer Engineering at The Chinese University of Hong Kong, Shenzhen 香港中文大学(深圳)
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
University of California, Irvine