I am a Computer Science student, and I have completed my MCA. I have a strong foundation in Java, Spring Boot, Hibernate, REST APIs, and SQL. I have hands-on experience working on projects like a To-Do Application, Secure Task Management System, and Context-Based Image Processing. I am also familiar with Git, GitHub, Postman for API testing, and basic frontend technologies like HTML & CSS. I am eager to learn new technologies and work on exciting projects.
My ResumeI have a strong foundation in Java, Spring Boot, Hibernate, MySQL, and REST APIs. Additionally, I am experienced in Git for version control and frontend technologies like HTML & CSS. I am always eager to learn new technologies and improve my skills.
Read moreproblem-solving & Analytical Thinking
i am ability to debug issues, optimize code, and thinking logically to solve technical challenges.
Teamwork & CollaborationEffectively collaborated with team members in development environment during my project.
Adaptability & Continuous Learning Read moreI developed a Task Management project using Spring Boot that provides Restful APIs for managing tasks and users with JWT-based authentication. I implemented user registration and login using Spring Security , where utsers can register and log in to obtain a JWT token for accessing protected resources. I integrated Spring Security with JWT to secure the API endpoints, ensuring only authenticated users can perform actions. For task management, I created APIs to allow users to create, update, and manage tasks efficiently. I used Spring Boot for the backend, Hibernate & JPA for database operations and MYSQL as the database. This project ensures secure task management with role-based access control and authentication.
skills i used :Java, Spring Boot, Spring Security, JWT Authentication, RESTful APIs, Hibernate, JPA, MySQL, Postman, Git & GitHub.
I developed a machine learning-based system to predict Diabetes and COVID-19 using medical records and CT scan images. It uses SVM for diabetes detection and CNN for COVID-19 classification, and CBIR for comparing medical image based on features. A Tkinter-based GUI allows users to upload data and view result easily. With 90% accuracy for diabetes and 89% for COVID-19 detection, this system ensures quick and accurate disease diagnosis using AI and image processing.
skills i used :Python, Machine Learning, Deep Learning, Image Processing, Data Handling, Visualization, GUI Development, Model Evaluation, Version Control
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