Esri/arcgis-maps-sdk-dotnet-samples
May 2025 – Aug 2025
3 Months active
Languages Used
MarkdownC#
Technical Skills
Documentation .NET MAUI Feature Management WPF WinUIArcGIS Runtime SDK
Morten Nielsen
PROFILE
Morten Nielsen
During their tenure on the Esri/arcgis-maps-sdk-dotnet-samples repository, M. Nielsen delivered targeted improvements to both code and documentation. They refactored the NMEA Location Simulator, replacing a threading-prone implementation with a stream-based architecture using C# and asynchronous programming, which improved reliability and maintainability for location simulation. Nielsen also optimized the feature deletion workflow in .NET MAUI and WPF samples, reducing unnecessary database calls and simplifying the codebase. Additionally, they enhanced developer documentation by clarifying feature form usage and aligning guides with current APIs. Their work demonstrated depth in desktop and mobile development, stream processing, and technical writing.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
529
Activity Months3
Your Network
107 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025Month 2025-08 — Delivered a stream-based NMEA Location Simulator in Esri/arcgis-maps-sdk-dotnet-samples, replacing a threading-prone implementation with a robust, single-path data flow. This change provides stable, reliable NMEA data for location simulation, improving test accuracy and reducing intermittent data-race risks. The work strengthens maintainability and establishes a foundation for future streaming enhancements in the simulator.
1 Commits • 1 Features
Aug 1, 2025Month 2025-08 — Delivered a stream-based NMEA Location Simulator in Esri/arcgis-maps-sdk-dotnet-samples, replacing a threading-prone implementation with a robust, single-path data flow. This change provides stable, reliable NMEA data for location simulation, improving test accuracy and reducing intermittent data-race risks. The work strengthens maintainability and establishes a foundation for future streaming enhancements in the simulator.
August 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for Esri/arcgis-maps-sdk-dotnet-samples: Delivered Feature Deletion Path Optimization to streamline deletion workflow by directly retrieving the first identified feature, removing an unnecessary extra query to fetch by object ID, reducing database calls and simplifying the codebase. This work improves end-to-end deletion performance for developers using the samples, reduces server load, and enhances maintainability. Key commit: 8b76bfc56b2c703cf75b792a0e43c6b5766161ab ('Simplify feature deletion (#1600)'). Technologies demonstrated: .NET, code refactoring, performance optimization, and version control.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for Esri/arcgis-maps-sdk-dotnet-samples: Delivered Feature Deletion Path Optimization to streamline deletion workflow by directly retrieving the first identified feature, removing an unnecessary extra query to fetch by object ID, reducing database calls and simplifying the codebase. This work improves end-to-end deletion performance for developers using the samples, reduces server load, and enhances maintainability. Key commit: 8b76bfc56b2c703cf75b792a0e43c6b5766161ab ('Simplify feature deletion (#1600)'). Technologies demonstrated: .NET, code refactoring, performance optimization, and version control.
May 2025
1 Commits
May 1, 2025May 2025 monthly summary focusing on Esri/arcgis-maps-sdk-dotnet-samples: Documented and cleaned up the EditFeaturesUsingFeatureForms samples across MAUI, WPF, and WinUI to improve clarity and usability for developers integrating feature forms.
1 Commits
May 1, 2025May 2025 monthly summary focusing on Esri/arcgis-maps-sdk-dotnet-samples: Documented and cleaned up the EditFeaturesUsingFeatureForms samples across MAUI, WPF, and WinUI to improve clarity and usability for developers integrating feature forms.
May 2025
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Quality Metrics
Correctness93.4%
Maintainability100.0%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#Markdown
Technical Skills
.NET MAUI Feature Management WPF WinUIArcGIS Runtime SDKAsynchronous ProgrammingDesktop DevelopmentDocumentationFull Stack DevelopmentMobile DevelopmentNMEA Data HandlingStream Processing
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