● Engineered an AI-powered skincare analysis platform using React, TypeScript, and TensorFlow.js, implementing real-time facial analysis and skin condition detection directly in the browser with processing times under 2 seconds.

● Architected a client-side machine learning inference pipeline, moving model processing from server to browser, reducing server infrastructure costs by 40% and improving system scalability.

● Improved overall application performance by 35% through optimized rendering, state management, lazy loading, and component architecture improvements.

● Developed responsive and modern user interfaces using React and Tailwind CSS, increasing user engagement and reducing bounce rate by 20% through improved UX and performance optimization.

● Deployed the serverless application on Vercel, configured CI/CD pipelines, integrated REST APIs for AI

recommendations, and reduced deployment time by 50% while lowering processing latency by 30%.

● Developed a React-based NFT marketplace platform that allowed users to browse, purchase, and manage digital assets, implementing dynamic UI components, routing, and marketplace listing features for a smooth user experience.

● Engineered 15+ reusable React components and designed a scalable Redux state management architecture, improving application maintainability, component reusability, and overall development efficiency.

● Integrated external REST APIs to retrieve NFT metadata, pricing information, and user asset data, optimizing data fetching and caching strategies to maintain sub-2 second page load times.

● Implemented secure authentication and session management using Firebase Authentication, including user login, protected routes, and persistent sessions across devices.

● Improved overall frontend performance by 25% through component rendering optimization, lazy loading, and architectural improvements, and deployed Firebase Cloud Functions to reduce API response latency by 30%.