public class Pradeep {
String role = "Java Full Stack Developer";
String education = "MCA (AI & ML) @ Surana College | CGPA 8.0";
String currently = "Training @ JSpiders Rajajinagar";
String[] loves = {"Spring Boot", "React.js", "MERN Stack", "Secure APIs", "Clean Code"};
public String motto() {
return "Turning ideas into scalable, secure, real-world applications ๐";
}
}- ๐ MCA โ AI & ML ยท Surana College (Autonomous), Bengaluru โ CGPA 8.0/10
- ๐ BSc Computer Science ยท Sahyadri Science College (Autonomous), Shimoga
- ๐ผ Currently training in Java Full Stack Development at JSpiders
- ๐ Also experienced with the MERN Stack (MongoDB, Express.js, React.js, Node.js) โ built AgriConnect end-to-end
- ๐ Published researcher โ Deep Learning for crop disease detection (IJARCCE, 2025)
- ๐ฑ Deep-diving into Spring Security, JWT & scalable backend architecture
| โ |
Java Full Stack Developer Trainee ยท JSpiders Software Development Training Institute Nov 2025 โ Present Training in Core Java, JDBC, Servlets, JSP, Hibernate, Spring IoC/MVC/Boot & Spring Security with REST API development. Building responsive UIs with HTML5, CSS3, Bootstrap, JavaScript & React.js. |
| ๐พ |
MERN Stack Developer Intern ยท Priston Software Built AgriConnect โ React.js frontend, Node.js/Express/MongoDB backend. |
| ๐ฎ |
Software Engineering Virtual Experience ยท Electronic Arts (via Forage) April 2025 Designed game features using OOP-based class diagrams; optimized game logic in C++. |
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Banking Management System Secure, backend-driven banking app with role-based access and RESTful architecture, deployed live on Render.
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Learning Management System Full-stack LMS enabling students to enroll, trainers to manage content, and admins to oversee the platform.
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Agriculture Marketplace Platform Full-stack MERN platform connecting farmers, suppliers & consumers directly, cutting out middlemen.
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Exam Result Management Platform Full-stack app for institutions to manage & publish exam results end-to-end.
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"AI in Agriculture: A Review of Deep Learning-Based Crop Disease Detection" ยท IJARCCE, 2025 CNN-based crop disease detection achieving up to 99% accuracy, plus mobile, drone & IoT-based smart farming solutions.