Developed an AI-driven interview platform that integrates Spring Boot, Node.js, React, and Python NLP models (GPT-3 Turbo, Gemini 2.0) to automate the candidate evaluation process. The platform includes resume parsing, extracting key information and skills for structured analysis, and audio-to-text processing to evaluate spoken responses in interviews. Automated candidate scoring is performed based on both textual and verbal input, helping HR teams make data-driven decisions. I implemented real-time communication features using WebSockets, enabling live interactions between interviewers and candidates, and managed all data efficiently with MongoDB Atlas, ensuring scalability and high performance under

Built a full-stack quiz management platform using Next.js for the frontend and Express.js with GraphQL for the backend, designed to support multiple users, quizzes, and question types. The platform includes secure authentication, allowing role-based access for administrators and participants, and features result tracking and performance analytics for both users and admins. I also developed interactive admin dashboards for creating, editing, and managing quizzes, enabling seamless control over the platform’s content and monitoring user engagement.

Created a hybrid search engine combining C++ and JavaScript with a VueJS frontend to provide fast and responsive search capabilities. Implemented efficient data structures such as Trie and Hash Tables for optimized search performance and low latency in query results. Designed a Laravel API layer for backend processing, handling search queries, ranking results, and providing semantic enhancements. Focused on performance optimization, query accuracy, and clean UI flow, ensuring a smooth user experience while handling complex data sets.

Developed a full-stack e-commerce web application using React.js / Next.js for the frontend and Node.js with Express.js (and REST APIs) for the backend. The platform supports user authentication, product browsing, cart management, and secure checkout workflows. Implemented JWT-based authentication and role-based access control, allowing separate admin and customer experiences. Admin users can manage products, categories, pricing, inventory, and orders, while customers can add items to cart, place orders, and track order status. Integrated payment workflow simulation and order lifecycle management, including order confirmation and status updates. Used MongoDB for storing user, product, and order data with optimized schema design and indexing for performance. Implemented server-side rendering with Next.js for improved SEO and faster page load times.

Developed a full-stack Employee Management System designed to streamline employee records, roles, and organizational workflows using Java Spring Boot and Node.js for backend services and React.js / Next.js for the frontend. The system provides secure access through JWT-based authentication and role-based access control, ensuring that administrators, managers, and employees have appropriate permissions. The platform supports comprehensive employee lifecycle management, including employee onboarding, profile management, department and role assignment, attendance tracking, and leave management. Implemented RESTful APIs for CRUD operations and integrated MySQL/PostgreSQL and MongoDB for structured and unstructured data storage, with optimized queries for scalability and performance. Built admin dashboards to manage employees, roles, and departments, along with search, filtering, and pagination for handling large datasets efficiently. Implemented audit logs and activity tracking to monitor system changes and enhance accountability. The application follows clean architecture principles, supports modular expansion, and is suitable for deployment in enterprise environments.