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Full Stack Engineer with less than a year in Java, Spring Boot & Machine Learning.
Results-driven Full Stack Developer and final-year B.Tech IT student with proven experience building end-to-end web applications and AI/ML-powered systems. Hands-on expertise in Java, Spring Boot, Python, REST APIs, and deep learning frameworks (TensorFlow, Keras, PyTorch). Delivered production-quality projects including a CNN-based plant disease detection system with 95%+ accuracy and a full-stack AI mock interview platform. IEEE-published researcher seeking a software developer role to contribute immediately from day one.
KLN College of Engineering
B.Tech in Information Technology · Information Technology
August 1, 2022 – June 30, 2026
Infinity Uniquers
Software Developer Intern
November 1, 2024 – March 31, 2025
Madurai, Tamil Nadu, India
PulmoScan AI — Chest X-Ray Disease Detection System
January 1, 2026 – Present
Engineered an AI-powered diagnostic web application to detect 14 lung diseases from chest X-rays using dual deep learning models. Implemented binary classification using EfficientNet (PyTorch) and multi-label disease prediction using TensorFlow/Keras. Integrated Grad-CAM explainability to highlight disease regions in X-rays, improving model transparency and clinical trust. Developed real-time prediction UI using Streamlit, enabling instant diagnostic feedback from uploaded X-ray images.
Plant Disease Detection Using CNN
March 1, 2025 – June 30, 2025
Designed and trained a Convolutional Neural Network (CNN) achieving 95%+ accuracy in classifying plant leaf diseases from images. Built and deployed an interactive Streamlit web application providing real-time disease detection and instant health feedback for farmers and researchers.
Career Warmup — AI Mock Interview System
January 1, 2025 – Present
Developed a full-stack web application simulating interview scenarios with automated, rule-based evaluation and feedback generation. Architected RESTful backend APIs using Spring Boot to manage question banks, user sessions, and response evaluation. Designed a responsive frontend interface with JavaScript for smooth, seamless user interactions across all devices.
Java Full Stack Development
Elysium Academy
January 1, 2025 – Present
IEEE Research Paper Publication
IEEE
January 1, 2025 – Present
SIH Internal Hackathon — Selected Participant
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong inclination towards innovation and problem-solving through participation in hackathons and publishing research. The diverse range of projects, from AI-powered diagnostics to full-stack interview systems, indicates a broad interest in technology and a willingness to tackle different challenges. This aligns well with a culture that values continuous learning, initiative, and technical versatility. The focus on practical, deployable solutions in projects suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight collaboration within an Agile/Scrum team, participation in code reviews, and a focus on user experience and performance optimization. The IEEE publication suggests strong research and documentation skills. The hackathon participation indicates problem-solving and innovation capabilities. Overall, the candidate appears to be a proactive, team-oriented individual with a strong drive for learning and practical application.