gcccsjedd/is-final-project
May 2025 – May 2025
1 Month active
Languages Used
JavaScriptMarkdownTypeScript
Technical Skills
AI IntegrationAPI DevelopmentBackend DevelopmentDeepSeek ModelDocumentationDocumentation Management
Jake Viñas
PROFILE
Jake Viñas
Jake Vin built the initial scaffold for a Sentiment Analysis API in the gcccsjedd/is-final-project repository, leveraging Svelte, Bun, and Ollama to establish directory structure, input validation, model discovery, and robust error handling. He documented API usage and refined feature naming to improve onboarding clarity. After delivering this technical foundation, Jake deprecated and removed the sentiment analysis feature, including its endpoint, server logic, and related documentation, to align with evolving project goals. This work, primarily in TypeScript and JavaScript, reduced future maintenance overhead and clarified the product direction, demonstrating thoughtful engineering depth and adaptability within a short timeframe.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
1
Lines of code
4,182
Activity Months1
Your Network
2 peopleShared Repositories
2
Work History
May 2025
5 Commits • 1 Features
May 1, 2025May 2025 performance summary for gcccsjedd/is-final-project: Built an initial Sentiment Analysis API scaffold using Svelte, Bun, and Ollama, including directory structure, API usage documentation, input validation, model discovery, and error handling; refined feature naming for clarity. This work delivered an early technical foundation and onboarding clarity for the sentiment feature. Subsequently deprecated and removed the feature to align with roadmap, including deletion of the endpoint, server logic, model integration, and related data schema/docs. The deprecation reduces future maintenance burden and clarifies product direction.
5 Commits • 1 Features
May 1, 2025May 2025 performance summary for gcccsjedd/is-final-project: Built an initial Sentiment Analysis API scaffold using Svelte, Bun, and Ollama, including directory structure, API usage documentation, input validation, model discovery, and error handling; refined feature naming for clarity. This work delivered an early technical foundation and onboarding clarity for the sentiment feature. Subsequently deprecated and removed the feature to align with roadmap, including deletion of the endpoint, server logic, model integration, and related data schema/docs. The deprecation reduces future maintenance burden and clarifies product direction.
May 2025
Activity
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Quality Metrics
Correctness98.0%
Maintainability96.0%
Architecture98.0%
Performance96.0%
AI Usage34.0%
Skills & Technologies
Programming Languages
JavaScriptMarkdownTypeScript
Technical Skills
AI IntegrationAPI DevelopmentBackend DevelopmentDeepSeek ModelDocumentationDocumentation ManagementGit WorkflowNatural Language Processing (NLP)OllamaRefactoringSvelteKitTypeScript
Repositories Contributed To
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