cisagov/cset
Sep 2025 – Sep 2025
1 Month active
Languages Used
C#HTMLJavaScriptTypeScript
Technical Skills
AngularBackend DevelopmentDatabase ManagementFront End DevelopmentFront-end DevelopmentFrontend Development
Matt Winston
PROFILE
Matt Winston
Matthew Winston enhanced the cisagov/cset repository by developing features that streamline assessment workflows and improve data integrity. He built a diagram questions progress indicator with a sticky header, providing users with persistent feedback on their progress during assessments. Leveraging Angular and TypeScript, he also implemented robust observation creation that auto-populates contacts and assessment-level data, reducing manual entry and increasing data richness. On the backend, Matthew addressed data model consistency by refining ID assignment and naming conventions in C# and database logic. His work delivered measurable improvements in reliability and user experience, demonstrating thoughtful attention to both frontend and backend details.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
101
Activity Months1
Your Network
62 people
Work History
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 (cisagov/cset): Delivered focused product improvements to enhance assessment workflow, data integrity, and developer velocity. Key changes include a Diagram Questions Progress Indicator with a sticky header for persistent progress feedback, robust observation creation with pre-populated contacts and assessment-level data, and data model consistency fixes to ensure reliable IDs and naming conventions across Observations and Findings. These changes reduce manual data entry, minimize data inconsistencies, and improve the reliability of assessment reporting, delivering measurable business value and a smoother user experience.
5 Commits • 2 Features
Sep 1, 2025September 2025 (cisagov/cset): Delivered focused product improvements to enhance assessment workflow, data integrity, and developer velocity. Key changes include a Diagram Questions Progress Indicator with a sticky header for persistent progress feedback, robust observation creation with pre-populated contacts and assessment-level data, and data model consistency fixes to ensure reliable IDs and naming conventions across Observations and Findings. These changes reduce manual data entry, minimize data inconsistencies, and improve the reliability of assessment reporting, delivering measurable business value and a smoother user experience.
September 2025
Activity
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Quality Metrics
Correctness84.0%
Maintainability84.0%
Architecture84.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#HTMLJavaScriptTypeScript
Technical Skills
AngularBackend DevelopmentDatabase ManagementFront End DevelopmentFront-end DevelopmentFrontend Development
Repositories Contributed To
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