Full Stack Java Developer with combined internship experience across multiple organizations, delivering full-stack projects using Java, Spring Boot, React.js, and MySQL. Skilled in REST API development, JWT-based authentication, and relational database optimization with measurable performance improvements.
Strong foundation in Data Structures, Algorithms, and OOP, with experience building secure, scalable web applications and integrating front-end/back-end features through Git-based workflows. Seeking a Full Stack Java Developer role to build enterprise-grade applications.
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AT Specialist Web is a modern, responsive website designed to provide a professional online presence for an assistive technology business.
The project focuses on presenting products and services in a clear, user-friendly, and visually appealing interface.
It includes responsive layouts optimized for desktop, tablet, and mobile devices.
The website emphasizes easy navigation, accessible information, and a clean user experience for visitors.
The project was developed and deployed as a production-ready web application using modern web development practices.
Java, Spring Boot, Spring Security, JWT, React.js, MySQL
– Engineered ”PromptGen,” an application for storing, managing, and version-controlling AI prompts, with a
React.js front end.
– Implemented core business logic in Java powering prompt classification, search/filtering, and collaboration
features.
– Deployed a MySQL database schema with optimized joins to improve query performance and reduce
data-fetching latency
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React.js, Java, Spring Boot, REST API, MySQL
– Led end-to-end development of ”ShopGen,” a responsive e-commerce web application, leveraging React.js for
state management and component-based UI rendering.
– Built high-performance RESTful web services using Spring Boot to handle e-commerce functionalities including
user authentication, cart management, and transactional workflows.
– Optimized backend performance through efficient relational database schema design and SQL query tuning,
cutting data retrieval time by 50% and improving system throughput.
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