Vandy Liu
Software Engineer at Databricks
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolVandy Liu is a software engineer with eight years of experience building full-stack developer tools and data-focused applications, currently at Databricks in Vancouver. He has shipped features across prominent projects at Microsoft (notably contributions to the widely used VS Code Jupyter extension and a pre-launch Data Wrangler marketplace item) and has experience in cloud-native ML platforms from Splunk and Astronomer. Vandy’s work spans frontend UX improvements (data viewers, variable explorers) to backend integrations and CI/CD automation, showing a comfort with both user-facing polish and developer tooling. He’s contributed practical improvements—like case-insensitive sorting, wildcard filtering, and xarray support—to high-impact open-source codebases. Comfortable in fast-paced, product-focused environments, he pairs rigorous Computer Science training from UBC with hands-on experience across startups and large tech teams. An interesting quirk: his background ranges from top-selling retail roles to building Alexa hacks, reflecting a pragmatic, user-centered approach to solving problems.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science with Distinction - BSc Computer Science, Bachelor of Science with Distinction - BSc Computer Science at The University of British ColumbiaR.C. Palmer Secondary School
Github Skills (16)
pandas10
typescript10
javascript10
typescripts10
vscode-extension10
python10
jupyter10
data-science10
typescript-types10
numpy10
testing10
react9
debugging9
machine-learning8
data-structures8
Programming languages (9)
Github contributions (5)
microsoft/vscode-jupyter
May 2021 - Aug 2021
VS Code Jupyter extension
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:28 reviews, 10 commits, 22 PRs in 2 months
Contributions summary:Vandy primarily contributed to the VS Code Jupyter extension, focusing on improvements to the data viewer and variable explorer. They implemented features such as sorting variables by name and type, adding wildcard support for filtering in the data viewer, and integrating xarray DataArrays. They also made code refactoring, test additions, and fixes related to debugging and case-insensitive sorting, demonstrating proficiency in both frontend and backend aspects of the extension.
jupyter-extensionvscodejupytervscode-extensiondatascience
BonnyBTakesCS455/music-tracker
May 2021 - Aug 2021
Contributions:30 reviews, 49 PRs, 70 pushes in 2 months
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