Scott Inglis
Senior Software Engineer at Microsoft
Snoqualmie, Washington, United States
Summary
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Rockstar🎓
Top SchoolScott Inglis is a Senior Software Engineer with over 18 years in professional development and nine years formally counted in this profile, currently building scalable solutions at Microsoft from his Snoqualmie, WA base. He brings deep backend expertise and a steady track record of modernizing codebases—evidenced by contributions to the high-profile ML.NET project where he refactored key transforms for better reuse and backward compatibility. Scott’s career spans game and simulation studios to enterprise software, giving him a pragmatic blend of performance-conscious engineering and large-team collaboration. Known for quietly improving API consistency and maintainability, he favors sustainable technical evolution that preserves customer investments while enabling new capabilities.
10 years of coding experience
12 years of employment as a software developer
Tarrant County CollegeBachelors of Science, Computer Science, Bachelors of Science, Computer Science at University of North Texas
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
net10
data-transformation10
asp-net10
machine-learning10
dotnet10
refactoring10
mlnet10
csharp10
machine-learning-models10
mldotnet10
dotnet-core10
algorithms9
Programming languages (8)
Github contributions (5)
dotnet/machinelearning
Oct 2018 - Apr 2019
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 commits, 43 PRs, 16 pushes in 6 months
Contributions summary:Scott primarily focused on refactoring and improving the existing code base within the ML.NET framework, specifically the `dotnet/machinelearning` repository. They updated and refactored the `CopyColumnsEstimator` and `CopyColumnsTransform` to use common code, improving code reuse and maintainability. The user also addressed API inconsistencies and replaced older transforms with the newer `SelectColumnsTransform`, ensuring the evolution of the framework and supporting backward compatibility for existing models.
dotnetmachine-learningml
singlis/reef
Jan 2017 - Oct 2018
Mirror of Apache REEF
Contributions:130 pushes, 34 branches in 1 year 9 months
reefjavaapache
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