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Mahesh Kota

India • linkedin.com/••••• • github.com/•••••

Career Objective

Java Full Stack Developer fresher with a B.Tech in Computer Science, hands-on academic project experience building web applications using Spring Boot, Hibernate, and MySQL. Developed and deployed multi-tier applications covering backend REST APIs, database design, and frontend integration with HTML, CSS, and JavaScript. Applied machine learning techniques using Python, Flask, and Scikit-learn to build a real-time loan prediction system. Proficient in Core Java fundamentals including OOP, Collections, and Multithreading, with practical exposure to JDBC, Servlets, JSP, and Apache Tomcat. Familiar with developer workflows using Git, Maven, Postman, and IntelliJ IDEA. Eager to contribute to production-grade Java full stack projects and grow within an engineering team focused on scalable, maintainable application development.

Education

Anurag Engineering College
Bachelor of Technology (B.Tech) in Computer Science • India • 2025

Technical Skills

Programming Language: Java,Python,JavaScript,JSP
Frontend Technologies: HTML,CSS
Backend Technologies: Spring Boot,Spring MVC,JDBC,Servlets
Databases: MySQL,Oracle
Version Control & Development Tools: Git,GitHub,Maven,IntelliJ IDEA,Eclipse IDE
API & Integrations: REST APIs,CRUD Operations
Project Management & Collaboration: Software Development Life Cycle

Projects

Machine Learning-Based Loan Approval Prediction | 2025
Tools Used: Python, Flask, Scikit-learn, XGBoost
  • Built an end-to-end loan eligibility prediction system using Python and Scikit-learn to automate manual approval decisions.
  • Implemented and compared Logistic Regression, Decision Tree, and XGBoost classifiers to identify the most accurate model for loan outcome prediction.
  • Developed a Flask backend to serve the trained XGBoost model and process real-time user input through a REST endpoint.
  • Engineered input preprocessing pipelines to handle missing values and categorical encoding before model inference.
  • Evaluated model performance using accuracy, precision, and recall metrics to validate the selected classifier.
Student Management System | 2025
Tools Used: Java, Spring Boot, JDBC, MySQL, HTML, CSS, JavaScript
  • Designed and developed a multi-tier web application using Spring Boot to manage student records and academic information.
  • Implemented full CRUD operations for student data with backend logic handled through Spring MVC controllers and service layers.
  • Connected the application to a MySQL database using JDBC for persistent storage of student and course records.
  • Built session management and role-based authentication to restrict access by user type and protect sensitive academic data.
  • Developed the frontend interface using HTML, CSS, and JavaScript to allow staff to interact with student records through a browser.
Blood Bank Management System | 2025
Tools Used: Java, Servlets, JSP, MySQL
  • Developed a web application using Java Servlets and JSP to manage blood donor registrations, blood requests, and inventory tracking.
  • Integrated application logic with MySQL through relational database operations covering donor profiles, blood group availability, and request fulfillment.
  • Implemented a blood availability search feature enabling staff to query inventory by blood group in real time.
  • Designed role-based access control for three distinct user types — administrators, staff, and donors — with differentiated permissions.
  • Built donor registration workflows with form validation and confirmation feedback using JSP pages.

Certifications

Full Stack Java — 10000coders
Full Stack Java — Nuhvin Global Services and Private Limited
Web Development — Embrizon Technologies
Database with Oracle — Oracle Academy

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