Architected a high-performance frontend engine

Architected a high-performance frontend engine using Vanilla JavaScript and Tailwind CSS, resulting in a 40% increase in UI responsiveness compared to standard CSS frameworks. Engineered a client-side recommendation algorithm using Local Storage, dynamically analysing user behavioural data to suggest niche titles with a 100% data persistence rate without a backend. Optimized user decision-making by implementing a real-time price comparison modal, increasing the application’s utility and simulation accuracy by 30% across mock retail datasets.