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Java Full Stack Developer With AI Integration
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Competencies
Demonstrated experience with Java 8/11/17/21.
Demonstrated experience with SQL.
Demonstrated experience with JavaScript (ES6+).
Demonstrated experience with Node.js.
Demonstrated experience with Express.js.
Education
Summary
Java Full Stack Developer With AI Integration open to new opportunities
Experience
Full Stack Java Developer
Developed and maintained RESTful APIs using Java 11 and Spring Boot for creating, updating, retrieving, and tracking mortgage service requests.. Designed and implemented Microservices to support mortgage servicing workflows, ensuring modularity, scalability, and maintainability of backend applications.. Implemented business validations using Java and Spring Boot to ensure only eligible customers could submit specific service request types based on loan status and account information.. Developed responsive frontend components using React.js and JavaScript, implementing client-side validations and integrating backend REST APIs using Axios.. Utilized Spring Data JPA, Hibernate, and SQL to manage mortgage service request records, implement entity relationships, and develop custom database queries.. Implemented centralized exception handling using Spring Boot Global Exception Handler to provide consistent error responses and improve application reliability.. Secured REST APIs using Spring Security and JWT-based authentication, implementing authorization controls to protect customer and mortgage-related information.. Integrated Apache Kafka with Spring Boot microservices to publish mortgage service request status events for asynchronous consumption by downstream servicing applications.. Containerized Spring Boot microservices using Docker and deployed applications using Kubernetes (K8s) and AWS, supporting scalable and reliable application environments.. Collaborated with cross-functional teams in an Agile/Scrum environment, participating in code reviews, testing, debugging, and continuous delivery of Java Full Stack applications.
Developer
Developed a Library Resource Management System using Node.js, Express.js, and React.js to manage booking and approval workflows for laptops, markers, books, and other academic resources.. Designed and implemented RESTful APIs using Node.js and Express.js for resource requests, availability tracking, booking management, and return operations.. Built responsive frontend components using React.js to display resource availability, submit booking requests, and track approval status.. Implemented backend business logic using Express.js to validate resource availability and manage booking and approval workflows.. Utilized MongoDB to store resource inventory, user information, booking records, and request status details.. Implemented authentication and authorization using Node.js, Express.js, and JWT to provide secure access for students, faculty, and administrators.. Containerized backend and frontend applications using Docker, and deployed them on AWS using EC2 and S3, with MongoDB used for application data storage and database operations, enabling consistent and scalable development and deployment environments.