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Software Engineer with less than a year in Java & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Software Engineer skilled in Java, Spring Boot, MySQL, Python, and Machine Learning. Developed full-stack and predictive analytics applications with secure authentication and database integration. Strong foundation in Data Structures and Algorithms, Object-Oriented Programming, DBMS, and Computer Networks. Seeking opportunities to apply technical and problem-solving skills in real-world projects.
Anna University Regional Campus, Madurai
B.E. Computer Science and Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Phoenix Softech
Java Intern
July 1, 2025 – August 31, 2025
Madurai, Tamil Nadu, India
Disease Prediction System
June 29, 2026 – Present
Developed a machine learning-based disease prediction system using patient health and lifestyle data. Performed data preprocessing, feature encoding, and exploratory data analysis to improve data quality. Trained and optimized a Random Forest classifier to enhance prediction accuracy and model performance. Evaluated the model using Accuracy, Precision, Recall, F1-Score, and Confusion Matrix metrics. Visualized feature importance and disease patterns using Matplotlib and Seaborn for better insights.
Exam Registration System
June 29, 2026 – Present
Developed a web-based exam registration system with secure authentication and role-based access control. Designed and managed student, course, and examination records using MySQL. Automated exam registration and hall ticket generation to reduce manual effort. Implemented backend validation and CRUD operations to maintain data integrity. Improved registration efficiency through a centralized and user-friendly system.
Smart Parking System
June 29, 2026 – Present
Developed a full-stack parking management platform with role-based access control, OTP authentication, and secure booking workflows. Implemented collision-detection and time-window validation logic to prevent overlapping reservations. Developed REST APIs for slot allocation, booking management, user operations, and parking availability tracking. Automated reservation expiry handling and real-time parking status updates. Built scalable backend services using Spring Boot, JPA, Hibernate, and MySQL.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, including machine learning, full-stack Java development, and database management. This diversity suggests adaptability and a willingness to explore different technical domains. The internship experience indicates an understanding of professional development environments. The projects also show an inclination towards building practical, problem-solving systems, which aligns with a results-oriented culture. However, the candidate is still early in their career, and direct experience in collaborative, agile environments is not explicitly detailed.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from full-stack development to machine learning. The internship experience suggests an understanding of SDLC and best practices, which are crucial for operational fit. However, without specific psychometric or English test results, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration beyond what's inferred from project descriptions.