Steven Hutchings is a Staff Software Engineer based in Seattle with eight years of professional experience building cloud-native, full-stack, and big data systems at scale for Microsoft and Google. He has deep Azure and Azure Machine Learning experience—contributing to the high-profile Azure PowerShell repo by extending Machine Learning Compute cmdlets and improving robustness—and now applies that expertise to large distributed systems at Google. His background spans embedded firmware and RTOS design to backend cloud services, giving him a rare blend of low-level hardware insight and high-level cloud architecture. Steven holds an M.S. in Computer Science and is known for pragmatic engineering: shipping features, removing legacy dependencies, and improving error handling to make systems more maintainable.
8 years of coding experience
10 years of employment as a software developer
The University of Utah
Bachelor of Science Computer Engineering, Bachelor of Science Computer Engineering at Brigham Young University
Contributions:44 commits, 3 PRs, 35 comments in 3 months
Contributions summary:Steven contributed to the Microsoft Azure PowerShell module, specifically focusing on the Machine Learning Compute (MLC) features. Their work involved adding new compute capabilities, removing outdated NuGet packages, and enhancing exception handling within the MLC cmdlets. Additionally, the user added new output object types and introduced a "Set-AzureRmMlOpCluster" cmdlet and refined existing cmdlets like `Remove-AzureRmMlOpCluster`.
Contributions:69 PRs, 154 pushes, 66 branches in 24 days
vstsvsts-extensionvscodevscode-extensionplanning
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