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Software Engineer with less than a year in Java Full-Stack Development and AI exposure.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Java Full-Stack Developer with strong fundamentals in Object-Oriented Programming, Data Structures & Algorithms, SQL, and Spring Boot. Hands-on experience in developing RESTful APIs, backend business logic, and database-driven applications. Familiar with Git, Postman, and basic AWS services.
ITER, SOA University
Master of Computer Applications
N/A – June 30, 2025
QuodeWorks
Software Engineer Trainee (Backend / AI Exposure)
July 1, 2025 – Present
India
Gym-CRM System
April 1, 2025 – June 1, 2025
Developed a full-stack gym management system supporting member registration, trainer management, subscriptions, and role-based authentication. Designed RESTful APIs using Spring Boot and implemented business logic for payments, renewals, and membership tracking. Integrated email notifications for subscription renewal alerts and status updates. Built admin dashboards with analytics for tracking users, revenue, and membership activity.
Eco-Cart
December 1, 2024 – January 1, 2025
Built a backend-driven e-commerce application focused on sustainable products and eco-tag filtering. Implemented product browsing, purchasing workflows, and database persistence using Spring Boot and JPA. Designed a clean, responsive UI using Bootstrap and followed layered architecture for scalability.
Plant Leaf Disease Prediction Using CNN
February 1, 2024 – May 1, 2024
Built a CNN-based model for automated plant species and disease detection from leaf images. Trained on 70,295 images, achieving 98.23% test accuracy and 96.55% validation accuracy. Designed a user-friendly interface for seamless image uploads and real-time predictions. Improved accessibility for farmers and researchers by enabling faster and accurate diagnosis.
Hacker Rank Java Certification
Unknown
June 1, 2026 – Present
Service Now Micro-Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in different domains (CRM, E-commerce, AI/ML), which suggests adaptability. The internship at QuodeWorks as a Software Engineer Trainee aligns with a growth mindset. The blend of Java/Spring Boot and Python exposure indicates a willingness to learn and apply different technologies. However, the experience is primarily academic and entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work in teams, as evidenced by collaboration on projects and internship experience. The project descriptions indicate a structured approach to development (layered architecture, RESTful APIs). However, without specific psychometric test results, a deeper assessment of stress handling, logical reasoning, and work attitude is not possible.