Jingqi Huang is a software engineer with 12 years of experience building cloud-native infrastructure and reliable distributed systems, most recently contributing to DoorDash's core infrastructure and CI/CD platforms. At Microsoft he focused on Azure Cognitive Search and an Azure AI Solution Platform, improving deployment success rates from 60% to 85% and owning provisioning, release, and CI/CD tooling. His background spans embedded Windows systems, large-scale data analysis, and research in social graph and sentiment analytics, giving him a rare mix of low-level OS, cloud, and data engineering expertise. Based in the Greater Seattle Area, he combines pragmatic engineering with a user-focused mission—building services that empower everyday people—and has a track record of turning complex deployment problems into robust, automated solutions.
12 years of coding experience
10 years of employment as a software developer
Bachelor's degree Telecommunications Engineering, Bachelor's degree Telecommunications Engineering at Beijing University of Posts and Telecommunications
Master of Science (M.Sc.) Computer Engineering, Master of Science (M.Sc.) Computer Engineering at Texas A&M University
Bachelor of Science - BS Telecommunications Management, Bachelor of Science - BS Telecommunications Management at Queen Mary University of London
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