
Davis Mo worked on the UTDNebula/utd-trends and jupiter repositories, delivering features and security improvements over three months. He implemented alphabetical sorting for the planner’s courses table, enhancing readability and planning efficiency using React and TypeScript. Davis integrated AI-powered professor ratings with Gemini summarization, combining API development and AI processing to provide richer user insights. He also stabilized the Home/SearchBar UI and optimized search performance through targeted caching strategies. In December, Davis upgraded Next.js across both repositories to address remote code execution vulnerabilities, applying security best practices and ensuring production stability while maintaining seamless user experience and robust dependency management.
In December 2025, I focused on security hardening across two UTDNebula projects by upgrading Next.js to mitigate remote code execution vulnerabilities, delivering non-disruptive patches and maintaining production stability.
In December 2025, I focused on security hardening across two UTDNebula projects by upgrading Next.js to mitigate remote code execution vulnerabilities, delivering non-disruptive patches and maintaining production stability.
November 2025 highlights for UTDNebula/utd-trends: launched AI-powered professor ratings with Gemini-based summarization, stabilized the Home/SearchBar UI with hydration fixes and rendering optimizations, and accelerated professor data search through targeted caching strategies. These improvements deliver faster, more reliable access to professor information and reviews, richer user insights, and better performance at scale.
November 2025 highlights for UTDNebula/utd-trends: launched AI-powered professor ratings with Gemini-based summarization, stabilized the Home/SearchBar UI with hydration fixes and rendering optimizations, and accelerated professor data search through targeted caching strategies. These improvements deliver faster, more reliable access to professor information and reviews, richer user insights, and better performance at scale.
September 2025: UTDNebula/utd-trends delivered Planner Courses Table Sorting to alphabetical order by course label, improving readability and predictability of the planner. Implemented with toSorted and a custom comparator; commit 2dbcbec6ae95f61904afa5914046f325730cd46c. This lays groundwork for consistent data presentation and faster planning decisions.
September 2025: UTDNebula/utd-trends delivered Planner Courses Table Sorting to alphabetical order by course label, improving readability and predictability of the planner. Implemented with toSorted and a custom comparator; commit 2dbcbec6ae95f61904afa5914046f325730cd46c. This lays groundwork for consistent data presentation and faster planning decisions.

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