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Software Engineer with less than a year in Full-Stack Web Development and AI/ML.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven B.Tech Information Technology graduate (2026) from Thiagarajar College of Engineering, Madurai, with a strong academic record (CGPA: 8.04). Proficient in full-stack web development using React.js, Node.js, HTML5, CSS3, and SQL, with additional expertise in Python-based machine learning and deep learning model development. Experienced in building end-to-end, production-quality applications from requirement analysis through deployment. Strong problem-solver with excellent communication skills, a collaborative mindset, and the ability to learn and deliver in fast-paced environments.
Thiagarajar College of Engineering
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Kings Matric Hr. Sec. School
Higher Secondary (12th Grade)
June 1, 2021 – May 31, 2022
Kings Matric Hr. Sec. School
Secondary (10th Grade)
June 1, 2019 – May 31, 2020
Raiden Studios
Extended Reality (XR) & AI Intern
January 1, 2024 – January 28, 2024
India
Job Recommendation Website
January 1, 2024 – Present
Engineered a responsive full-stack web application that extracts skills from uploaded resumes and recommends suitable job listings using NLP-based matching logic. Developed modular React.js components with React Hooks and React Router for dynamic, real-time data rendering via REST API integration. Designed and optimised a normalised MySQL relational database schema; wrote complex SQL queries to handle concurrent data requests efficiently. Achieved clean separation between Node.js/Express.js backend and React.js frontend, reducing code coupling and improving maintainability.
Speech Emotion Recognition System
January 1, 2024 – Present
Built a Convolutional Neural Network (CNN) model in Python to classify eight emotion categories from raw speech audio using the TESS dataset. Implemented full ML pipeline: data collection, MFCC feature extraction, model architecture design, training, hyperparameter tuning, and evaluation. Achieved high classification accuracy through iterative model refinement; documented evaluation metrics in structured performance reports.
Nitrogen Deficiency Detection in Plants
January 1, 2023 – Present
Implemented an image classification solution using MobileNet and VGG16 architectures with transfer learning to detect nitrogen deficiency in plant leaves. Curated, annotated, and preprocessed a multi-class leaf image dataset; applied data augmentation to improve generalisation on limited training data. Demonstrated application of AI in precision agriculture, contributing to sustainable farming through early, automated deficiency detection.
Machine Learning with Python
Unknown
June 1, 2026 – Present
Programming Using Java
Unknown
June 1, 2026 – Present
Database and SQL
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning full-stack web development, speech emotion recognition, and precision agriculture AI, indicates a broad interest in technology and a willingness to explore different domains. Their academic background and stated key strengths align well with a learning-oriented culture. The internship experience, though short, shows exposure to team collaboration and structured SDLC, which are positive indicators for cultural integration.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, attention to detail, and team collaboration skills, as highlighted in their resume. Their academic projects showcase an ability to work independently and deliver structured solutions. The internship experience indicates adaptability and effective communication within a professional setting, suggesting a good operational fit for structured development environments.