Chaitra T
@chaitrat
Full Stack Developer building scalable Java/Spring Boot and React applications with secure APIs and clean architecture.
What I'm looking for
I’m a Full Stack Developer experienced in building scalable, end-to-end web applications using Java, Spring Boot, React.js, and MySQL. I focus on secure RESTful APIs, structured database architecture, and smooth frontend-backend integration.
In my Java Full-Stack Developer internship at KodNest, I developed 8+ RESTful APIs for user and order management using Spring Boot and Hibernate. I implemented authentication and CRUD operations integrated with MySQL, working with structured datasets of 200+ records, and applied layered architecture plus basic query optimization to improve maintainability and response consistency.
I also worked on AI/ML during the AI/ML - NSDC program with Python-based lab sessions, building supervised and unsupervised learning models. I implemented a KNN-based prediction system that achieved approximately 80% accuracy and evaluated performance using basic accuracy and validation techniques.
My project work strengthens how I build end-to-end solutions: Sales Savvy delivered a full-stack e-commerce platform with 3 core modules and 10+ REST APIs, while Smart Placement automated shortlisting with an AI-based KNN recommendation (80% matching accuracy) and role-based access control—reducing manual screening effort by approximately 40%. I bring strong problem-solving foundations in OOP, data structures, and system design.
Experience
Work history, roles, and key accomplishments
Java Full-Stack Dev Intern
KodNest
Feb 2025 - Oct 2025 (8 months)
Developed 8+ RESTful APIs with Spring Boot and Hibernate for user and order management, implementing authentication and CRUD backed by MySQL. Improved code maintainability using layered architecture and basic query optimization while handling 200+ structured records.
AI/ML Intern (KNN)
NSDC
Oct 2024 - Jan 2025 (3 months)
Built supervised and unsupervised learning models in Python and implemented a KNN-based prediction system achieving approximately 80% training accuracy. Evaluated model performance using basic accuracy and validation techniques.
Education
Degrees, certifications, and relevant coursework
Tontadarya College of Engineering
Bachelor of Engineering (B.E.), Computer Science
2021 - 2025
Grade: 9.23/10
Pursued a B.E. in Computer Science from 2021 to 2025 and achieved a CGPA of 9.23/10.
Vijaya Chetana PU Science College
Pre-University Course (PUC), Science
2019 - 2021
Grade: 98.5%
Completed the PU Science program from 2019 to 2021 with a percentage of 98.5%.
St. John’s English Medium High School
Secondary School Leaving Certificate (SSLC), General Education
2018 - 2019
Grade: 96%
Completed SSLC from 2018 to 2019, securing a percentage of 96%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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