Likith Pulluri

Fairborn,OH

Summary

Driven Java Developer with experience at Zemoso Technologies, adept in leveraging Agile methodologies and AWS cloud platform to enhance project outcomes. Excelled in developing and optimizing Java-based applications, demonstrating a keen ability to improve system efficiency and collaborate effectively. Skilled in HTML, CSS, and JavaScript, with a strong foundation in teamwork and problem-solving.

Overview

year of professional experience

Work History

Zemoso Technologies

Hyderabad, Telangana

12.2021 - 11.2022

Possess expertise in designing and developing web applications using HTML5, CSS3, and JavaScript.
Developed reusable React.js components for multi-field form elements and background file uploads.
Designed and developed a RESTful-style web service layer using Spring MVC, microservices, and Spring Boot.
Worked on form validation, error handling, and event handling using JavaScript and jQuery.
Developed data insertion forms, and validated them using JavaScript.
Created stored procedures, functions, and triggers using PL/SQL.
Responsible for completing the scrum, requirement stories, unit testing, peer reviews, and code reviews.
Testing the application, troubleshooting, and fixing bugs.

Education

Master of Science - Computer Science

Wright State University

Fairborn, OH

12-2024

Computer Science & Engineering

Sharda University

Uttar Pradesh

06-2022

Skills

Java technologies: Core Java, J2EE, JSP, Servlets, JDBC, Spring Framework
Web Technologies: Angular, Reactjs, Nodejs, jQuery, Bootstrap
Web Languages: HTML, CSS, JavaScript
Databases: MySQL, Oracle
Methodlogies: Agile, SDLC

Tools: IntelliJ, VS code
Cloud Platform: AWS
Operating Systems: Windows, Linux
Version Control: Git
Testing Tools: JUnit, Mockito

PROJECTS

Plant disease detection using CNN: This application is concerned with a new approach to the development of plant disease recognition model, based on leaf image classification.
· Writer Recognition from handwritten text: This project goal is to enter process and train handwritten English characters in order to recognize patterns and then translate them to a better input.

TECHNICAL PAPERS

· Leveraging a convolutional neural network for developing a hand-written text recognition system (Published).
· A Survey over Advancement of Health Maintenance Surveilling System in the Domain of IOT (Written).

Timeline