PILLA DIPESH

Spearheaded integration of Qwen and DeepSeek AI SDKs into Next.js applications, enhancing AI capabilities and user authentication through Azure Entra ID, GitHub, and Microsoft.

Designed and developed highly responsive and modern user interfaces for critical admin, banking, wallet, and blockchain explorer panels, leveraging React, Next.js, TypeScript, and Docker.

Architected and developed a full-stack E-commerce platform, integrating dealer management automation and subscription payments via React, BackendLessDB, and Stripe SDK, resulting in a 30% increase in dealer engagement and 45% faster transactions.

Engineered a scalable frontend architecture with React and TailwindCSS, leveraging BackendLessDB as BaaS to optimize lazy loading and server-side caching, significantly improving application performance and reducing load times.

Developed a robust serverless backend using BackendLessDB, implementing advanced data modeling for invoices, user authentication, and Stripe payment processing, which enhanced transaction reliability and optimized database query performance.

Designed and implemented an interactive vehicle marketplace, incorporating features like shortlist creation, dealer listing, and favoriting. Utilized Zustand for lightweight state management, boosting app responsiveness and minimizing unnecessary re-renders.

Undertook a dedicated career break for higher studies (MBA, CAT preparation) and intensive upskilling in modern frontend development.

Enhanced expertise in React, Next.js, and TypeScript through self-paced learning and hands-on freelance projects.

Developed a feature-rich hybrid mobile application for the Financial Sector and an internal application using React Native, integrating a secure payment gateway that led to a 40% increase in user transactions.

Optimized user experience (UX) by implementing a robust payment processing system, advanced event management features, and real-time feedback mechanisms, contributing to a 25% increase in user retention.

Designed and deployed a React Native and Firebase-based malnutrition detection application, enabling streamlined health screening for over 500 newborns monthly and reducing detection time by 40% through automated data processing.

Developed an optimized asynchronous data transfer system utilizing RESTful APIs (Node.js, React) and PostgreSQL, reducing data transfer time by 20% and implementing IndexedDB for seamless offline storage.

Integrated Redux, React Navigation, and key third-party libraries to streamline application state management, significantly improving UI responsiveness and boosting user retention by 30%.