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Aruna Kumar G

Aruna Kumar G

Java Full Stack Developer

Karnataka, India 85 · Excellent

About

Results-driven Java Full Stack Developer with strong hands-on experience in building scalable web applications using Java, Spring Boot, REST APIs, and MySQL. Skilled in backend development, database design, and API integration with a solid foundation in Data Structures, OOP, and system design principles.

Skills & Expertise (40)

Spring Boot Intermediate
7.3/10
1
Years Exp
Java Intermediate
7.1/10
1
Years Exp
RESTful API Design Intermediate
7.1/10
1
Years Exp
SQL Intermediate
6.9/10
1
Years Exp
Hibernate Intermediate
6.9/10
1
Years Exp
VS Code Schema Design JSON JUnit Microservices Git GitHub Postman Eclipse MySql Apache Tomcat Data Structures & Algorithms Encapsulation Inheritance Polymorphism Abstraction MVC Architecture Agile Methodology Spring MVC OOP Collections Framework Exception Handling Multithreading Joins Subqueries Indexing Query Optimization Normalization JDBC Maven HTML5 CSS3 JavaScript Responsive Web Design DBMS Concepts

Work Experience

Developer

Food Frenzy

Jan 2026 - Jan 2026

Designed and developed a full-stack e-commerce platform using Spring Boot following MVC architecture. Built and exposed 15+ RESTful APIs for product management, cart operations, and order processing. Integrated MySQL database using Hibernate ORM for efficient data persistence. Implemented JSON-based communication between frontend and backend systems. Designed responsive UI using HTML, CSS, and JavaScript for improved user experience. Tested APIs using Postman and ensured smooth request-response handling.

Developer

Student Management System

Jan 2026 - Jan 2026

Developed a backend application supporting CRUD operations for managing student records. Implemented JDBC for database connectivity and handled transactions efficiently. Applied DAO design pattern for modular and maintainable code structure. Managed 500+ student records with optimized SQL queries for faster data retrieval. Reduced manual data handling effort by approximately 40%.

Developer

Infant Brain Tumor Detection

Jan 2025 - Jan 2025

Built a Convolutional Neural Network (CNN) model for medical image classification. Performed image preprocessing, normalization, and data augmentation techniques. Achieved 92% accuracy on ultrasound dataset. Evaluated model performance using precision, recall, and F1-score metrics. Applied transfer learning concepts to improve model generalization.

Education

Bachelor of engineering

2022 - 2026 · India

Certifications

Spring Boot for Beginners

Udemy · 2026

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceApr 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation