Zhenxi Zhou
About Zhenxi Zhou
Zhenxi Zhou is a Software Engineer at Expedia Group, specializing in machine learning and cloud cost optimization.
Current Role at Expedia Group
Zhenxi Zhou has been working as a Software Engineer at Expedia Group since 2019 in Bellevue, Washington. In this role, Zhenxi has implemented significant improvements in software and system efficiency, particularly through the development and integration of various technical solutions. His work at Expedia showcases his expertise in cloud infrastructure and machine learning, underscoring his contributions to the company's technological advancements.
Educational Background
Zhenxi Zhou completed a Bachelor's degree in Computer Science from the University of Illinois at Urbana-Champaign, where he studied from 2013 to 2017. His foundation in computer science principles is complemented by a Master's degree from the same institution. This academic background has equipped him with the essential skills and knowledge required for his professional pursuits in software engineering.
Technical Projects and Initiatives
During his tenure at Expedia Group, Zhenxi Zhou has led several critical projects, such as developing a machine learning model inference engine in Java and integrating it with an internal ML Feature Store backed by DynamoDB. He also designed a Python-based machine learning model inference engine that efficiently handles real-time HTTP requests, maintaining a 99th percentile latency under 200ms at a rate of 50 requests per second. Additionally, Zhenxi developed a service to automate the creation and deletion of Datadog dashboards through the Datadog API.
Cost Optimization and Performance Enhancement
In response to the COVID-19 pandemic, Zhenxi Zhou spearheaded a cost reduction initiative that successfully decreased cloud costs by at least 40%. This was achieved through rigorous performance testing and resource adjustment on AWS EKS. His efforts in optimizing the cloud infrastructure not only enhanced cost efficiency but also maintained high performance and reliability of the services.
Proficiency with Tools and Technologies
Zhenxi Zhou is adept at managing support operation tickets, adhering to strict SLA response times. He demonstrates proficiency with several tools and technologies, including Docker, Kubernetes CLI, AWS CLI, Helm, Terraform, Splunk, Grafana, and Prometheus. His ability to effectively utilize these tools underscores his technical competence and commitment to maintaining high operational standards.