Muskan Dawar

Owned and evolved front-end architecture across 2 mobile apps and 3 web applications for enterprise workflow platforms, defining scalable patterns with Next.js and TypeScript. Built and optimized global state management systems using Redux and Zustand, reducing unnecessary component re-renders by approximately 80%.

Designed and optimized a data-intensive React Native application serving 3,000+ users, achieving sub-2-second critical data load times and near-instant chatbot responses. Built 4-5 interactive data visualizations and architected multiple enterprise workflow platforms using Next.js, Redux, and Zustand.

Delivered cross-platform mobile applications using React Native and Expo, ensuring feature parity and stable behavior across iOS and Android. Optimized frontend performance by implementing lazy loading and bundle optimization techniques, improving load times and overall responsiveness.

Built real-time data visualizations and integrated GenAI-powered insights into an AI-driven dashboard, improving load times by 50% through code splitting and lazy loading. Built and redesigned Programs, a learning content platform, single-handedly, reducing API calls by 70% through a redesigned data-fetching and caching strategy.

Grade: 8.5 CGPA

Pursued a Bachelor of Technology in Computer Science Engineering with a focus on AI and Data Science, achieving a CGPA of 8.5.