Software Engineer Computer Science

Sai Vaishnavi Koganti

*** ******* ***** *****, *******, GA, 30338, USA

ad5vfv@r.postjobfree.com 470-***-**** saivaishnavikoganti Education

Georgia State University Atlanta, GA

Master of Science - Computer Science. GPA 3.8 Aug 2022 – April 2024 Coursework: Approximation and Algorithms, Web Programming, Databases and Web, Data Security, and Artificial Intelligence. Experience

College of Arts & Sciences - Georgia State University Atlanta, GA Software Engineer - GA Jan 2023 - April 2024

– Automated course websites and online resources for computer science courses, ensuring timely updates and accessibility for all students, which enables switching between a requested session and a Selenium webdriver while maintaining the current web session.

– Integrated Parsel’s parser into the library, making xpath, css, and regex much cleaner to write and improving Selenium’s handling of dynamically loading elements, makes cookie handling and clicking elements more flexible in Selenium.

(USAA) - Cognizant Technology Solutions Chennai, India Software Development Engineer Aug 2021 – Aug 2022

– Designed and implemented Selenium test automation suites for the USAA auto insurance web platform, reducing manual tests by 50%.

– Created a Rest Assured API test framework for the discount calculation APIs, improving test coverage by 25%.

– Addressed user concerns by developing a dynamic quote system, utilizing body parsing middleware and postman for handling HTTPS requests and npm for package management, resulting in a 30% increase in customer satisfaction.

– Implemented server-side API requests with Axios for providing GET, POST, PUT,PATCH and DELETE routes as requested.This enabled more responsive application behavior, and a more intuitive user experience .

– Created API test suites integrating with CI/CD pipelines to enable automated regression testing, improving release quality by 30%.

– Performed back end testing using SQL Queries to make sure the data entered has been uploaded correctly into the database tables.

– Collaborated with business analysts, developers and stakeholders to define integration test scenarios mapping end-to-end customer workflows, maintaining quality standards.

Cognizant Technology Solutions Chennai, India

Software Engineer - Intern Jan 2021 – Aug 2021

– Collaboratively designed the high-performance e-commerce website, leveraging HTML, CSS, React, JavaScript and Nodejs to deliver a seamless user experience.

– Prepared and Executed Test plans, Test Scripts and Test Cases on web and Mobile platforms based on functional specifications and user requirements using Appium tool.

– Architected RESTful APIs using REST Assured to perform CRUD operations on customer data this improved data processing speed by 20%, leading to faster user interactions and a smoother experience. .

– Utilized AWS Lambda functions for serverless computing, enhancing system scalability and reducing operational overhead.

– Enhanced user experience with a 25% decrease in page load times through Page Object Model framework development.

– Implemented parallel execution and unit tests using TestNG, Maven, and JUnit for efficient test coverage, documenting the test results and integrated the framework with GitHub Web Hooks significantly accelerating code deployment and delivery and also for version control and cross-browser/environment compatibility.

Projects

Raspberry Pi based Smart Waste Management System - (IOT, Raspberry Pi, Ultrasonic Sensor, Python)

– Designed and implemented an IoT-based solution for efficient waste management in urban areas.

– Integrated ultrasonic sensors for distance measurement and humidity sensors to distinguish between dry and wet waste, enabling automated segregation of waste types.

– Utilized Raspberry Pi as the central processing unit, interfacing with sensors and executed Python scripts to control waste management processes.

Lung Cancer Detection - (Python, Binary Cross - Entropy, Convolutional Neural Network, Image Recognition)

– Developed a comprehensive pipeline for lung cancer detection from CT scans. Processed medical image data, extracted features using CNNs for classifying cancerous lesions.

– Implemented Data augmentation techniques like ImageDataGenertor, FeatureWise Centering and Normalization and achived an accuracy of 90.87% on test data.

Production Data Management System -( SQL, Bootstrap, Postman, JQuery, Appium)

– Developed an application that suits any business need by storing production data and providing dashboard access to track, analyze, and highlight key performance indicators, metrics, and data points, reducing the latency to 9%.

– Users can perform operations facilitating viewing, searching, and changing information using computer -based forms and reports. Skills

Languages : JavaScript, Java, Python, C, C++.

Environment : Selenium Web Driver2, Appium, JIRA, XCode, XCUITest Driver, UiAutomator2 Driver, iOS 8.0, TestNG, Maven, SOAP UI, SOAP, REST, JUnit, Jenkins, Postman, Xpath, XML, IOT, Linux/Unix, Raspberery pi, Windows, MAC-iOS, Selenium IDE, Web Services, Mobile Testing, MS Excel, MS SQL Server, AWS, Agile Testing Methodology, Page Object Model(POM), TDD, GIT. Web Technologies : HTML, CSS, Flask, React, jQuery, Bootstrap, npm, Node.Js, Express.Js, Kafka, Pyspark, Pandas, NLP. IDEs: IntelliJ, Eclipse and Visual Studio Code.

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