Summary
Qing Xie is a Lead Software Architect based in the San Francisco Bay Area with a decade of experience designing and delivering cloud-native, data-intensive systems across enterprise and research settings. He combines deep backend expertise in Java/Spring and Python/Django with hands-on experience in microservices, DevOps (Chef, Docker, Ansible, Jenkins), and multi-cloud automation (AWS, Azure, GCE, jClouds), having architected cross-cloud deployment engines and automated provisioning in production. Qing has led IoT and Big Data initiativesβbuilding streaming analytics with Kafka and Spark, scalable storage with Cassandra/HBase, and device integrations using MQTT and Arduinoβwhile also applying semantic modeling (RDF, SPARQL, TOSCA) to infrastructure and metadata problems. His background spans R&D and industry leadership roles, including building Analytics PaaS and device management platforms at Accenture Labs and driving microservices and security features at Ten-X before his current role at Intuitive Surgical. A PhD in Computer Science underpins a research-minded approach to practical engineering, reflected in both performance-testing and model-driven automation work that often bridges academia and production.
9 years of coding experience
16 years of employment as a software developer
Ph.D Computer Science, Ph.D Computer Science at University of Maryland
Master's Degree Computer Science, Master's Degree Computer Science at South China University of Technology
English, Chinese, Chinese