Spandan Garg is a data and applied scientist at Microsoft with nine years of experience bridging software engineering and machine learning. He started as a rendering and firmware engineer in the gaming and embedded spaces before shifting into data science and research roles, now working on applied ML problems from Seattle. Spandan brings practical software craftsmanship to data projects—he’s contributed backend documentation and examples to the widely used Azure CLI, improving developer usability. He holds a software engineering BASc from Waterloo and completed graduate work at UC Berkeley, blending strong systems foundations with research-driven modeling. Known for turning engineering curiosity into reproducible, production-ready solutions, he often surfaces user-focused improvements that make complex tooling more approachable.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Master's degree at University of California, Berkeley
Bachelor of Applied Science, Software Engineering, Bachelor of Applied Science, Software Engineering at University of Waterloo
Contributions:12 commits, 39 PRs, 28 comments in 2 months
Contributions summary:Spandan primarily contributed to the Azure CLI's help files, focusing on adding new examples and reordering commands for improved readability and maintainability. Their work involved modifying Python files (`.py`) within the `azure-cli-acr` module, specifically targeting the `_help.py` files. These changes enhance the usability and clarity of the Azure CLI's command documentation by providing practical usage examples.
Contributions:38 pushes, 1 branch in 4 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.