During November 2024, E21036 enhanced the cepdnaclk/people.ce.pdn.ac.lk repository by developing student profile personalization features focused on the e21036 profile. They implemented machine learning-driven customization for student interests, allowing the profile to dynamically reflect individual preferences. Using HTML and front-end development skills, E21036 improved the display and consistency of the preferred short name, ensuring a more accurate and user-friendly presentation. The work addressed profile relevance and data quality, with refinements made through QA rather than production bug fixes. This feature established a scalable foundation for future personalization across student profiles, demonstrating thoughtful application of front-end and ML techniques.