

Motivated and enthusiastic Java Full Stack Developer with strong knowledge of Java, Spring Boot, Hibernate, HTML, CSS, JavaScript, Bootstrap, and SQL. Familiar with frontend and backend development, database management, REST APIs, and web application development. Strong problem-solving abilities, quick learning skills, and a passion for building efficient and user-friendly applications. Seeking an entry-level opportunity to apply technical skills, gain hands-on experience, and contribute to organizational growth.
Java Full Stack Developer ( Core Java, SQL, HTML, CSS, JDBC, Spring, Java Script)
Cloud Computing ( AWS, Azure, DevOps)
Python Full Stack Developer( Python, DJANGO, CSS)
Linux, Windows, MAC
MS Office ( Excel, Powerpoint, Word)
Cloud Computing(Linux, Python, AWS, Azure, DevOps), Intellipaat
Java Full Stack Developer( JSpiders, Bengaluru)
Cloud Computing(Linux, Python, AWS, Azure, DevOps), Intellipaat
Major Project:-Smart Sense AI – Industrial Predictive Anomaly Detection Framework
Developed Smart Sense AI, an intelligent industrial predictive anomaly detection framework designed to monitor and analyze real-time sensor data from manufacturing and industrial equipment. Leveraged machine learning and deep learning algorithms to detect abnormal patterns and predict potential equipment failures before they occur, minimizing downtime and reducing operational costs.
Mini Project:-Emergency Room Visit Prediction using Hospitalization & Data Mining
Developed a predictive analytics model to forecast emergency room (ER) visits by applying data mining techniques on historical hospitalization records. Analyzed large-scale patient datasets to identify key risk factors and patterns associated with unplanned ER admissions. Utilized machine learning algorithms such as Decision Trees, Random Forest, and Logistic Regression to build and evaluate prediction models with high accuracy.