
During two months on the acm-ucr/aisc-website repository, Naima Cano developed and enhanced multiple user-facing features focused on storytelling, engagement, and responsive design. She built a React-based SkinLesionsDescription component to present a machine learning medical project, refactored the About Us page for dynamic content rendering, and improved the mobile experience of the statistics bar. In the following month, she introduced scroll-triggered animations and interactive elements to the What We Offer and R&D sections, optimizing animation timing for better perceived performance. Her work demonstrated proficiency in React, TypeScript, and Tailwind CSS, with a focus on maintainable, component-driven front-end architecture.

For 2025-08, delivered user-facing UX enhancements on acm-ucr/aisc-website, focusing on animated interactions in the What We Offer and R&D sections. Work improved engagement, perceived performance, and UI polish through targeted animations and responsive timing adjustments while maintaining a clean codebase.
For 2025-08, delivered user-facing UX enhancements on acm-ucr/aisc-website, focusing on animated interactions in the What We Offer and R&D sections. Work improved engagement, perceived performance, and UI polish through targeted animations and responsive timing adjustments while maintaining a clean codebase.
Month: 2025-07 — Front-end enhancements for acm-ucr/aisc-website focused on ML project storytelling, company information, and mobile usability. Key deliveries include SkinLesionsDescription component on the Projects page with image support to highlight a computer vision ML medical data project; About Us page implemented/refactored with dynamic content rendering; and Responsive Statistics Bar improvements for mobile (vertical stacking and typography scaling). Major fixes include height adjustments for the SkinLesionsDescription UI and resolution of PR feedback to stabilize visuals. Impact: improved storytelling of ML work, clearer company values, and improved cross-device usability. Technologies demonstrated include React componentization, dynamic rendering via arrays, responsive design, image handling, and PR-driven code quality.
Month: 2025-07 — Front-end enhancements for acm-ucr/aisc-website focused on ML project storytelling, company information, and mobile usability. Key deliveries include SkinLesionsDescription component on the Projects page with image support to highlight a computer vision ML medical data project; About Us page implemented/refactored with dynamic content rendering; and Responsive Statistics Bar improvements for mobile (vertical stacking and typography scaling). Major fixes include height adjustments for the SkinLesionsDescription UI and resolution of PR feedback to stabilize visuals. Impact: improved storytelling of ML work, clearer company values, and improved cross-device usability. Technologies demonstrated include React componentization, dynamic rendering via arrays, responsive design, image handling, and PR-driven code quality.
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