Summary
Overview
Education
Skills
Certification
Timeline
STRENGTHS
Projects
Generic
KOMMU THARUN

KOMMU THARUN

Software Developer
Madanapalle

Summary

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.

Overview

2
2
Certifications

Education

Master of Computer Applications - Computer Applications Development

Viswam Engineering College
Madanapalle, India
04.2001 -

Bachelor of Computer Applications - Computer Applications Development

Sri Srinivasa Degree College
Madanapalle, India
04.2001 -

Skills

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)

Certification

Cloud Computing(Linux, Python, AWS, Azure, DevOps), Intellipaat

Timeline

Java Full Stack Developer( JSpiders, Bengaluru)

04-2026

Cloud Computing(Linux, Python, AWS, Azure, DevOps), Intellipaat

11-2024

Master of Computer Applications - Computer Applications Development

Viswam Engineering College
04.2001 -

Bachelor of Computer Applications - Computer Applications Development

Sri Srinivasa Degree College
04.2001 -

STRENGTHS

  • Key Strengths
  • Strong communication and teamwork skills
  • Problem-solving mindset with focus on practical solutions
  • Leadership abilities to guide and motivate teams

Projects

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.

KOMMU THARUNSoftware Developer