Headline

Java Backend Developer | Java | Spring Boot | Spring Security | REST APIs | Spring Data JPA | PostgreSQL | DevOps | Open to Java Backend & Software Engineer Role

About

Java Backend Developer focused on building maintainable and secure backend applications using Java, Spring Boot, Spring Security, REST APIs, JPA/Hibernate, MySQL, Redis, and Docker. CSE graduate with hands-on experience in backend development, NLP/AI applications, testing, debugging, and end-to-end software development. Built a Banking Portal REST API using Spring Boot, Spring Security, JWT, JPA/Hibernate, MySQL, Redis, and Docker, gaining practical experience in authentication, persistence, caching, API development, and containerization. At Edunet Foundation, deployed an NLP chatbot end-to-end and worked across development, testing, debugging, deployment, and performance optimization. Also developed a Sea Mines Detection System using Machine Learning with 87% prediction accuracy and a responsive e-commerce application using ReactJS. Core Skills: Java | Spring Boot | Spring Security | REST APIs | JPA | Hibernate | MySQL | Redis | Docker | Microservices | JWT | Git | Maven | JUnit | Mockito | SQL | AWS Open to Java Fresher/Trainee, Java Backend Developer, Spring Boot Developer, and Software Engineer roles — full-time, on-site, hybrid, or remote. Open to connecting with recruiters and hiring teams.

Location

Bengaluru

AI stack

claude code

codex

cursor

gemini

github copilot

Work experience

Intern at Edunet Foundation, Dec 2024 - Jan 2025 · 2 mos, 1) Deployed an NLP-based chatbot as part of a project supported by industry mentors. The goal was to use core natural language processing techniques to create a working application that solves real problems. The chatbot was designed to understand user inputs and provide responses based on trained models. 2)The entire project followed a development lifecycle. I handled every stage. Starting from planning and design moving through coding and implementation then testing the system thoroughly and finally deploying it in an environment. This gave me experience with how AI applications are built and delivered in real-world settings. I used AI and NLP methods to work on projects focused on sustainability. These tasks helped sharpen my ability to analyze problems and turn them into practical solutions using machine learning models. It also improved my skills in building and refining models that can be used in ways. 3)Throughout the process I debugged issues in the code, optimized performance. Made sure the chatbot was ready, for production use. I worked independently to find and fix bugs at the code level improving reliability and speed. The end result was a chatbot that ran smoothly and provided consistent results.

Data Science Intern at YBI Foundation, Dec 2023 - Jan 2024 · 2 mos, 1. Prepared reports and dashboards to present data analysis findings, tracking project time deviations and model performance metrics.. 2. Wrote test cases, identified and tracked bugs, assessed their nature, and executed corrective actions to improve model prediction accuracy.. 3. Participated in code reviews, design sessions, sprint demos, and project retrospectives following Agile practices. 4. Developed new functions and analytical modules to support data-driven decision-making.

Education

Post Graduate Certificate Programme in Advanced Computing, Advance Computing, Centre for Development of Advanced Computing (C-DAC)

Bachelor of Technology, Computer Engineering, SANJEEVAN ENGINEERING & TECHNOLOGY INSTITUTE, PANHALA

Public links

github: https://github.com/smile2112-hub

leetcode: https://leetcode.com/mahi96k_