Shangxiang Fan is a Senior Software Engineer with 11 years of experience specializing in cloud-native infrastructure and Kubernetes-based platforms, currently building MAI Office Copilot at Microsoft in Beijing. He has deep Azure Kubernetes Service expertise from multiple roles at Microsoft and contributed upstream to the cloud-provider-azure project by implementing a Private Link Service client. His background includes leading container platform efforts and performance tuning for AI training workloads—optimizing SR-IOV, Alluxio, Intel RMD, GPU operator and Mellanox operator integrations. Comfortable in both large enterprise and fast-moving product teams, he blends systems-level engineering with pragmatic delivery across cloud, container orchestration, and ML ops.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Dalian University of Technology
Contributions:283 reviews, 294 commits, 970 PRs in 1 year 1 month
Contributions summary:Shangxiang implemented a client for the Private Link Service (PLS) within the cloud provider for Azure, as indicated by the commit messages. This involved implementing a client for the PLS service and generating a mock client. The code changes included a new file to support the client, suggesting the addition of new functionality for interacting with Azure's private link services. The changes demonstrate the user's work on the Azure cloud provider specifically.
Contributions:2 PRs, 32 pushes, 1 branch in 1 year 6 months
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Shangxiang Fan - Senior Software Engineer(64) at Microsoft