Kuna Santosh Kumar
Professional Summary
Full Stack Java Developer with 0.5 years of experience building and deploying full‑stack web applications during an industrial internship. Experienced in developing Spring Boot backends and React frontends, implementing REST APIs and MySQL-backed persistence. Applied Java, JavaScript, HTML and CSS to deliver responsive user interfaces and client-server integration. Used Maven, GitHub and Eclipse for build automation, version control, and collaborative development. Built a machine learning prototype with Python, NumPy, Pandas and Matplotlib for human activity recognition. Strong grounding in OOP, JDBC and SQL from coursework and project work. Comfortable working in SaaS-oriented environments and following coding standards to improve maintainability. Able to translate requirements into production-ready features and participate in code reviews and CI workflows.
Technical Skills
Work Experience
- Implemented RESTful backend services in Spring Boot to expose CRUD APIs and persisted data in MySQL for core application features.
- Developed responsive UI components using React and JavaScript, converting designs into reusable components with client-side validation.
- Integrated front-end React components with Spring Boot APIs to enable data-driven UI interactions and consistent JSON contracts.
- Authored and refined MySQL schema and SQL queries to support application workflows and improve data retrieval patterns.
- Automated builds and dependency management using Maven and maintained source with GitHub-based repositories and pull-request reviews.
- Refactored modules to enforce OOP principles and coding standards, improving maintainability and readability across the codebase.
- Built prototype features combining HTML, CSS and JavaScript to enhance form handling and reduce server-side validation errors.
Projects
- Collected and preprocessed sensor data using Python, Pandas and NumPy to construct feature sets for activity classification.
- Applied Decision Tree, K-Nearest Neighbors and Support Vector Machine classifiers to model human activities and validated performance using cross-validation.
- Implemented visualization and analysis in Jupyter Notebook with Matplotlib and documented model pipeline for use in healthcare and fitness monitoring prototypes.
Education
Certifications
Achievements
- 3rd place — Infosys Springboard Exam (college level, JNTUGV) — 2022: Secured third place in the institutional Infosys Springboard assessment conducted by JNTUGV.
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