Matthew Irvine
Engineering Manager II at Google
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Irvine is an engineering manager with 11 years of experience building infrastructure and developer-facing tools for cloud and data platforms. He currently leads a 10-person team at Google focused on AI/ML data infrastructure for Google Cloud Storage and is the lead developer/owner of the open-source Dataflux accelerated data loader for PyTorch on GCS. Matthew combines hands-on backend and full-stack expertise—from performance work that yielded 2.5–5x small-file transfer speed improvements for Transfer Appliance to UI and extension contributions on high-profile Microsoft projects like Azure Data Studio and the vscode-mssql extension. He has deep operational experience running on-call and support rotations across global teams and has driven monitoring, observability, and incident response improvements that reduced resolution time. Comfortable contributing across the stack, he frequently moves between product, technical leadership, and direct code contributions to unblock customers and partners. Based in Seattle, he pairs pragmatic engineering judgment with open-source collaboration to accelerate AI/ML and data workflows.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of Virginia
English
Github Skills (22)
javascript10
webview10
typescript10
user-interface10
vscode-extension10
azure-data-studio10
sql10
database-design10
typescript-types10
dotnet-core10
android-webview10
typescripts10
csharp10
angular10
azure-active-directory9
Programming languages (7)
Github contributions (5)
microsoft/vscode-mssql
Apr 2017 - Feb 2019
Visual Studio Code SQL Server extension.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:4 releases, 42 commits, 89 PRs in 1 year 9 months
Contributions summary:Matthew primarily focused on enhancing the user interface and overall functionality of the Visual Studio Code SQL Server extension. Their contributions include fixing bugs related to opening JSON and XML cell values, and improving the display of results by incorporating features like color coding and resource-scoped configurations. Furthermore, they implemented connection string support, enabling users to connect to SQL Server instances more flexibly. In addition, they refactored the existing code to adopt the new web view API and combined grid selections for more efficient user interaction.
sqlserversql-servervisual-studio-codemicrosoft-sql-servervscode
microsoft/azuredatastudio
Nov 2017 - Mar 2019
Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:1 release, 171 commits, 293 PRs in 1 year 4 months
Contributions summary:Matthew primarily contributed to the UI of the Azure Data Studio application. They implemented several features, including tab coloring, dynamic UI components for dialogs, and improved the edit data functionality. They also made various adjustments to the editor component and general styling.
sqlserverazure-sql-databasemicrosoftmanagement-tooldata-management
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