Paul Devito is a software engineer based in Portland with nine years of experience building systems where data science and ML intersect with data engineering and backend development. Currently at Google, he brings a practical, product-driven mindset honed at Output Inc., where he pioneered personalized audio sample content for creators. Comfortable across the stack, Paul favors .NET, React, vertical-slice architecture, and DDD, and contributes to tooling like a .NET scaffolding project that reduces boilerplate and embraces Docker. His background includes teaching graduate computer vision at Cornell and hands-on supply-chain and front-end projects, reflecting both research depth and delivery focus. Known for improving API design and error handling, he blends engineering rigor with an emphasis on developer ergonomics and reproducible deployment.
9 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell University Graduate School
A .NET scaffolding tool to help you stop worrying about boilerplate and focus on your business logic 🚀
Role in this project:
Back-end Developer
Contributions:80 releases, 16 reviews, 1262 commits in 2 years 6 months
Contributions summary:Paul primarily focused on modifying the project's API backend code. Their work involved refactoring and consolidating the setup of the web API's services, creating and modifying controllers, and improving error handling, with consistent usage of .NET frameworks. Furthermore, the user implemented changes related to the use of Docker, suggesting a strong familiarity with containerization.
A C# library complementing the Bogus generator by adding auto creation and population capabilities.
Contributions:9 commits, 2 PRs, 4 pushes in 2 months
dotnetc-librarycsharpcreationcapabilities
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