
Worked on the UT Dallas EPICS Support-Our-Scrubs-Noble-Award repository, delivering two core features over two months. Developed a slug-based data retrieval system using Vue and JavaScript, enabling precise access to specific records and improving data handling for end users. Focused on maintaining backward compatibility and isolating changes to minimize disruption. In a subsequent phase, implemented SEO and site-structure enhancements with Nuxt.js, optimizing meta tags, normalizing titles, and generating dynamic sitemaps to improve search visibility and site maintainability. Emphasized traceable, consolidated commits and thorough documentation, reflecting a methodical approach to front end development and API integration.
November 2025 monthly summary for UT Dallas EPICS project focusing on SEO and site-structure improvements for the Support-Our-Scrubs-Noble-Award site. Implemented foundational SEO work and structural enhancements to improve search visibility, page usability, and maintenance efficiency. Changes were deployed as part of a single commit that consolidated optimization efforts.
November 2025 monthly summary for UT Dallas EPICS project focusing on SEO and site-structure improvements for the Support-Our-Scrubs-Noble-Award site. Implemented foundational SEO work and structural enhancements to improve search visibility, page usability, and maintenance efficiency. Changes were deployed as part of a single commit that consolidated optimization efforts.
October 2025: Delivered slug-based data retrieval for UT Dallas EPICS project, enabling retrieval of specific records by unique slug values. No major bugs fixed this month. This work improves data access precision and reduces manual filtering for end users. Key tech practices: Git-based traceability, focused feature delivery, and minimal API surface changes.
October 2025: Delivered slug-based data retrieval for UT Dallas EPICS project, enabling retrieval of specific records by unique slug values. No major bugs fixed this month. This work improves data access precision and reduces manual filtering for end users. Key tech practices: Git-based traceability, focused feature delivery, and minimal API surface changes.

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