Alipta Ghosh

Server-State Orchestration: Leveraged TanStack Query to manage asynchronous data fetching, caching, and synchronization for doctor listings and appointment slots.

Optimistic UI Updates: Implemented optimistic updates for the booking process, allowing the UI to reflect successful appointments instantly while background synchronization occurs, significantly reducing perceived latency.

Intelligent Cache Invalidation: Designed a "stale-while-revalidate" strategy to ensure patients always see the most up-to-date doctor availability without requiring manual page reloads.

Zero-Config Loading & Error States: Utilized built-in query states to handle complex loading skeletons and global error boundaries, providing a smooth and professional user experience.

Centralized Global State: Developed a robust state management architecture using Redux Toolkit (RTK) to maintain consistent data across multiple administrative widgets, charts, and tables.

Complex Workflow Management: Managed multi-step administrative tasks—such as doctor registration and schedule overrides—using Redux Slices and Selectors for predictable state transitions.

Async Logic with Thunks: Integrated Redux Thunks to handle side effects and batch-process bulk data updates, ensuring the dashboard remains responsive even when handling large datasets.

Persistent Admin Sessions: Utilized Redux to manage complex UI states (like sidebar toggles, filter persistence, and active tabs) to ensure a seamless workflow for clinic administrators.

Architected a secure web application for teachers to manage student lifecycle data, including attendance and financial records.

Implemented Token-Based Authentication (JWT), managing login sessions, token storage, and secure API requests via Authorization headers.

Engineered Protected Routing in React to prevent unauthorized access to sensitive dashboard features and student data.

Developed dynamic CRUD operations using asynchronous logic, ensuring seamless data flow between the frontend and the database.

Focused on Integration Logic, effectively connecting a React frontend with an AI-generated backend through structured RESTful API calls.

Deployed and maintained the production build on Vercel, utilizing CI/CD best practices through GitHub integration.

Architected a Direct-to-Restaurant Ecosystem: Developed a full-stack web application using Next.js that enables users to order directly from partner restaurants, eliminating third-party commission fees and reducing delivery overhead.

Enhanced Security & User Session Management: Implemented a robust authentication system using JWT (JSON Web Tokens) and Secure HTTP-only cookies, ensuring protected user data and seamless, persistent login sessions across the platform.

Optimized Performance & SEO: Leveraged Next.js Server-Side Rendering (SSR) for dynamic menu pages and Incremental Static Regeneration (ISR) to ensure lightning-fast page loads and peak SEO rankings for restaurant-specific keywords.

Engineered Scalable Order Workflows: Built a resilient end-to-end ordering pipeline—from intuitive menu browsing and state-managed cart systems. Secure Routing & Middleware: Integrated custom Middleware to handle route protection, ensuring that sensitive checkout and profile data are accessible only to authenticated users, preventing unauthorized access.

Developed a responsive task manager allowing users to create, and delete work deadlines with precise time-stamping.

Leveraged LocalStorage for seamless browser-based data persistence and zero-latency retrieval.

Designed an intuitive CRUD interface with bulk-action capabilities to streamline daily workflow management.

Ensured mobile-first responsiveness using Custom CSS and BOOTSTRAP for a consistent experience across all devices.