Java Backend Developer Graduate Fresher
backend_developer
Hi, I’m Pawan Jamkhande, a Computer Engineering student and aspiring Java Software Developer. I have hands-on experience with Java, Spring Boot, Hibernate, SQL, REST APIs, and full-stack development. I enjoy building scalable applications and solving real-world problems through technology. As a fresher, I’m eager to learn, contribute to a collaborative team, and grow as a software engineer.
pa***@gmail.com
Jagrok Healthcare
Jul 2024 - Oct 2024
Navi Mumbai, india • on-site
• Developed a geofencing-based application to enable real-time location tracking of medical representatives in the field. • Built a web-based admin dashboard supporting location-verified activity reporting and oversight. • Streamlined field-reporting workflows to improve accountability and reduce manual verification effort.
Bachelor of Engineering, Computer Engineering
Nov 2022 - May 2026
cgpa: 7.97
Personal Project • Jan 2026 - May 2026
• Engineered a full-stack movie rating platform with role-based access control, enabling admins to manage the catalog while users rate and review titles, using a Spring Boot REST API and an Angular Material frontend. • Designed a self-generating MySQL schema using JPA/Hibernate requiring zero manual SQL, including multi-genre tagging and a unique constraint to prevent duplicate ratings per user. • Implemented live rating aggregation with optimized JPQL queries to compute average ratings in real time, eliminating reliance on cached or stale values.
Jagrok Healthcare • Jul 2024 - Dec 2024
• Developed a geofencing-based application to enable real-time location tracking of medical representatives in the field. • Built a web-based admin dashboard supporting location-verified activity reporting and oversight. • Streamlined field-reporting workflows to improve accountability and reduce manual verification effort.
Academic Project • Nov 2024 - Mar 2025
• Developed AI/ML models to deliver crop and fertilizer recommendations, disease detection, and yield and rainfall prediction. • Integrated multilingual portals with direct crop-selling functionality and AI chat assistance to improve accessibility for farmers. • Improved farm productivity by enabling data-driven, AI-assisted decision-making.
No volunteering activities listed
Resume
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