CSC392-CSC492-Building-AI-ML-systems/ai-identities
Jun 2025 – Aug 2025
3 Months active
Languages Used
CSSHTMLJavaScriptTypeScriptBatchDockerfilePythonShell
Technical Skills
Frontend DevelopmentNext.jsReactTailwind CSSUI/UX DesignUI/UX Development
Mark
PROFILE
Mark
Mark Noge contributed to the CSC392-CSC492-Building-AI-ML-systems/ai-identities repository by delivering end-to-end features for LLM identification workflows, UI/UX modernization, and production reliability over a three-month period. He implemented frontend file upload and results visualization using React and TypeScript, integrated backend analysis with FastAPI, and established secure API communication through Node.js proxies. Mark enhanced user authentication by connecting frontend flows to an external XWiki service and improved branding with a cohesive UI overhaul. His work addressed both user experience and operational stability, including bug fixes in deployment scripts, demonstrating depth in full-stack development and production-ready engineering practices.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
25Total
Bugs
1
Commits
25
Features
10
Lines of code
60,348
Activity Months3
Your Network
12 people
Work History
August 2025
13 Commits • 2 Features
Aug 1, 2025Monthly performance summary for August 2025 (Month: 2025-08) focusing on delivering end-to-end LLM identification workflow, UI/UX refinements, and production reliability improvements within the ai-identities repository. Highlights include feature delivery, bug fixes, and measurable business impact.
13 Commits • 2 Features
Aug 1, 2025Monthly performance summary for August 2025 (Month: 2025-08) focusing on delivering end-to-end LLM identification workflow, UI/UX refinements, and production reliability improvements within the ai-identities repository. Highlights include feature delivery, bug fixes, and measurable business impact.
August 2025
July 2025
7 Commits • 4 Features
Jul 1, 2025July 2025 — Delivered business-critical features and improvements for the ai-identities project (CSC392-CSC492-Building-AI-ML-systems/ai-identities). Core work focused on tooling, secure API integration, frontend modernization, and authentication flows to accelerate delivery, reduce risk, and improve user engagement. Key outcomes include tooling upgrades for stronger type safety, a robust backend proxy for XWiki REST API access, a refreshed LLM Detective frontend, and a user authentication system integrated with an external XWiki service. Additionally, critical XWiki REST API usage issues were fixed to stabilize operations and reduce support effort.
July 2025
7 Commits • 4 Features
Jul 1, 2025July 2025 — Delivered business-critical features and improvements for the ai-identities project (CSC392-CSC492-Building-AI-ML-systems/ai-identities). Core work focused on tooling, secure API integration, frontend modernization, and authentication flows to accelerate delivery, reduce risk, and improve user engagement. Key outcomes include tooling upgrades for stronger type safety, a robust backend proxy for XWiki REST API access, a refreshed LLM Detective frontend, and a user authentication system integrated with an external XWiki service. Additionally, critical XWiki REST API usage issues were fixed to stabilize operations and reduce support effort.
June 2025
5 Commits • 4 Features
Jun 1, 2025June 2025 performance summary for CSC392-CSC492-Building-AI-ML-systems/ai-identities: Delivered a cohesive frontend refresh, branding updates, and catalog functionality, while simplifying the UI to reduce clutter. No major bugs were documented this month; focus was on frontend polish, branding consistency, and user-facing catalog features that enhance discoverability and user experience.
5 Commits • 4 Features
Jun 1, 2025June 2025 performance summary for CSC392-CSC492-Building-AI-ML-systems/ai-identities: Delivered a cohesive frontend refresh, branding updates, and catalog functionality, while simplifying the UI to reduce clutter. No major bugs were documented this month; focus was on frontend polish, branding consistency, and user-facing catalog features that enhance discoverability and user experience.
June 2025
Activity
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Quality Metrics
Correctness88.8%
Maintainability86.4%
Architecture83.6%
Performance83.2%
AI Usage20.8%
Skills & Technologies
Programming Languages
BatchCSSDockerfileHTMLJavaScriptPythonShellTypeScript
Technical Skills
API DevelopmentAPI IntegrationAnimationAuthenticationBackend DevelopmentBackend IntegrationCSSData VisualizationDockerDocker ComposeEnvironment ConfigurationFastAPIFile HandlingFrontend DevelopmentLocal Storage
Repositories Contributed To
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