Summary
Jay Xu is a graduate student researcher and full-stack software engineer with 10 years of experience building enterprise customer-facing applications across startups and large organizations. He blends hands-on expertise in cloud-native ML deployments (AWS, GCP, SageMaker, Lambda), container orchestration (Docker, Kubernetes), and end-to-end software delivery with strong backend skills in Java, Python, and SQL databases. His capstone work focuses on productionizing ML models with cost, time, and scalability metrics—bridging research, DevOps, and product needs. Prior roles include designing RESTful APIs and CICD tooling at VMware and leading product-facing engineering at SDK.cn, where he improved client retention and search visibility. Based in California, Jay brings an analytical, metrics-driven approach and a knack for turning experimental ML prototypes into scalable cloud services.
10 years of coding experience
3 years of employment as a software developer
Computer science associate, Computer Science, Computer science associate, Computer Science at MiraCosta College
Master's degree, Computer Science, Master's degree, Computer Science at California State University San Marcos
Bachelor's degree, Journalism & Finance, Bachelor's degree, Journalism & Finance at Shandong University of Finance and Economics
Chinese, English, Japanese