About

Zhenxi Zhou is a highly skilled software engineer with over 3 years of experience in the field. Currently working at Expedia Group, he is responsible for implementing machine learning model inference engines in Java, developing Datadog dashboard services, and designing and deploying Python machine learning model inference engines in Agile processes. Zhenxi is a master of various tech stacks including AWS, Python, Java, Terraform, Kubernetes, Docker, Jenkins, and MongoDB, among others. He has an extensive background in building and maintaining microservices, integrating with internal ML Feature Stores with DynamoDB backend, and reducing cloud cost spending by conducting performance tests and adjusting cloud resources on AWS EKS based on test results. His expertise in software engineering has allowed him to handle support operation tickets with response time strictly under SLA, and fast-learning on-the-job the tools used by the team including Docker, Kubernetes CLI, AWS CLI, Helm, Terraform, Splunk, Grafana, and Prometheus. Zhenxi is a team player with excellent communication skills and a passion for delivering high-quality work. He has a proven track record of reducing cloud cost spending for his team by at least 40% as a COVID-19 initiative. With his skills and experience, he is an asset to any team looking for a dedicated and highly skilled software engineer.