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Onur Gumus

PROFILE

Onur Gumus

Worked on the dotnet/fsharp repository to deliver a targeted performance optimization in the F# type subsystem, focusing on compiler design and functional programming. Addressed a performance regression in IDE mode with generative type providers by caching the result of TypeStructure.GetHashCode at creation time, storing it within the discriminated union case. This approach eliminated repeated O(n) hashing during type-subsumption cache lookups, reducing CPU usage and improving IDE responsiveness. Leveraged F# attributes such as [<CustomEquality; NoComparison>] to implement a fast-path Equals method, ensuring stable API behavior while enhancing maintainability and performance for projects relying on advanced type system features.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
58
Activity Months1

Work History

April 2026

1 Commits • 1 Features

Apr 1, 2026

April 2026: Delivered a targeted performance optimization in the F# type subsystem. Implemented caching of TypeStructure.GetHashCode to avoid O(n) hashing during type-subsumption cache lookups, addressing a perf regression in IDE mode with generative type providers. Pre-computed the hash at TypeStructure creation, stored it in the DU case, and added [<CustomEquality; NoComparison>] with a fast-path Equals that uses the cached hash. Commit db60550de46951f3cd2370be713c77a21156a396; this reduces CPU usage and improves IDE responsiveness, while keeping API behavior stable.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

F#

Technical Skills

compiler designfunctional programmingperformance optimization

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

dotnet/fsharp

Apr 2026 Apr 2026
1 Month active

Languages Used

F#

Technical Skills

compiler designfunctional programmingperformance optimization