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C, C++, C#, Java, Python, Shell Programming, PL/SQL, MATLAB, Oracle

Richardson, Texas, United States
February 05, 2019

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Rohitha Bandarupalli

**** ******* ****, *******, ** 78641 Phone: 214-***-**** E-Mail: Objective

Seeking an entry level programmer position in a dynamic and functional workspace. Summary

• 2+ years of Software Developer Experience spanning all facets of Software Development Life Cycle including analysis, design and testing using Agile Methodologies and TDD.

• Experience working with object-oriented programming and J2EE web applications.

• Experience using software design principles and patterns to design an extensible application.

• Experience working with SOAP and REST services and deploying in AWS.

• Experience working on network packet analysis using Wire shark.

• Willingness and ability to easily adapt to learn new technology or software. Experience

Graduate Assistant, Texas State University Feb 2018 – Dec 2018

• Taught undergrad level C++

• Ensured that all students comprehended the curriculum, and supported students who require some extra guidance, resulting in programming test scores increasing 17% over the past two semesters. Math Grader, Texas State University Jan 2017 – April 2017 Education

M.S. in Computer Science (Texas State University, San Marcos, TX) Jan 2017 - Dec 2018 B.S. in Computer Science (JNTU Kakinada, India) Aug 2012 – June 2016 Skills

Languages C, C++, C#, Java, Python, Shell Programming, PL/SQL, MATLAB. Database Oracle, Microsoft SQL Server, and MySQL.

Web Technologies/services HTML/CSS, JavaScript, XML, Servlets, JSP, AJAX, Struts, AngularJS, SOAP, REST, AWS Frameworks Spring MVC, Hibernate, Maven, Junit

Web/Application Servers Tomcat 8.0, Apache, Jboss. Packages/IDE Intellij, Eclipse, Visual Studio, log4j, MS Office. Operating Systems Microsoft Windows, Unix, Linux – RedHat, Ubuntu Technologies/Tools Tortoise SVN, Ant, Maven, JUnit, Log4j, slf4j, logback, Git, Jira 2


Artificial Neural Network based non-linear adjustment for analogy-based software This is designed to enhance the precision of prediction on cost of software project by 40%. Artificial neural network with its learning ability to act as an adjustment mechanism in analogy-based software cost estimation has been used to achieve this. Kaalah Game with AI algorithms

Kaalah game is a two player (computer vs. computer) game designed using Minmax-A-B and Alpha Beta Search algorithms to generate the best possible move. Object oriented programming is used for the reusability. Online Music Store

Implemented a website that allows customers to add, and edit music items to their shopping cart, get a confirmation receipt. Achieved website security by using spring security.

Expert System for Career Advising

This system is designed to assist a freshman student to get career advice in which major to pursue his/her studies. Forward chaining and Backward chaining methodologies were used and using dynamic programming and hashing data structure increased system efficiency. Cross-Site Scripting

Designed a game, which is deployed on the “Capture The Flag” platform. Awards & Accolades

Awarded Graduate Research Excellence Award at the Texas State University.

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