Software QA Engineer

Sai Venkata Shreyas Bandaru

+1-310-***-**** ************@*****.*** github. https:com//in//www.Shr2498 linkedin.com/in/sai-venkata-shreyas-bandaru PROFESSIONAL SUMMARY

Results-oriented QA Engineer with over three years of experience in automated and manual testing to ensure high software performance. Proficient in Selenium, Playwright, Cypress, Appium, and Rest Assured, with experience in API testing, CI/CD pipelines, and performance testing. Agile, capable of working in cross-functional teams and driving test automation initiatives for higher efficiency and reliability. SKILLS

Core Skills

• Automation and Manual Testing: Selenium, Playwright, Appium, Cypress, JUnit, Pytest, Rest Assured

• Test Case Design and Execution: Test Case Documentation, Debugging, Verification, Validation

• API and Web Service Testing: Postman, REST APIs, JSON, XML, Schema Validation

• Performance Testing: JMeter, Load Testing, Test Planning and Execution

• Defect Tracking and Management: Jira, Confluence, TestRail

• Database Testing : SQL, MySQL

• Linux and Scripting: Proficiency in Linux commands, Bash scripting

• Mobile and Cross-Browser Testing: iOS, Android, Chrome, Firefox, Safari, Edge Programming Languages

• Python, Java, JavaScript, C, C Sharp, Bash

Agile Methodologies and DevOps

• Agile (Scrum and Kanban), Sprint Planning, Continuous Integration (CI/CD)

• Git, GitHub, GitLab for version control

Soft Skills

• Communication (verbal and written), Collaboration in Agile Environments, Problem-Solving and Root Cause Analysis, Attention to Detail, Adaptability, Time Management WORK EXPERIENCE

QA Automation Engineer Oct 2024 - Present

Community Dream Foundation California, USA

• Engineered and maintained highly scalable automation frameworks with Playwright, reducing manual testing efforts.

• Developed and executed automated test scripts to ensure application reliability across various platforms.

• Integrated automated tests into CI/CD pipelines, ensuring smooth and efficient deployment cycles.

• Led performance testing initiatives, optimizing application response times and system scalability.

• Collaborated closely with development and product teams to enhance test strategies and increase defect detection. Student Assistant Feb 2023 - Jul 2024

California State University California, USA

• Designed and implemented comprehensive test plans and test cases, increasing test coverage

• Automated regression test cases using Pytest and JUnit, accelerating release cycles.

• Utilized SQL for database validation, ensuring data integrity and performance consistency.

• Tracked and managed defects in Jira, improving the bug resolution process. Manual Test Engineer (QA) Jul 2019 – Jul 2022

Ortler Solutions Pvt Ltd Telangana, India

• Conducted manual and automated testing for web and mobile applications, ensuring cross-browser compatibility.

• Developed Selenium-based automation scripts that enhanced test execution efficiency.

• Led API testing initiatives using Postman and Rest Assured, ensuring API stability.

• Created and maintained detailed test documentation, including test plans, test cases, and reports.

• Worked in Agile Scrum teams, participating in daily stand-ups, sprint planning, and retrospectives. EDUCATION

California State University Aug 2022 – Aug 2024

Master of Science (Major: Software Engineering) California, USA

• Courses: Data Structures and Algorithms, Software Requirements, Data mining, Software Verification and Validation, Software Metrics, Software Engineering management, Computer System Architecture, Software Architecture and design, Advanced Software Engineering Vardhaman College Engineering Aug 2015 – Jun 2019

Bachelor of Technology (Major: Computer Science) Telangana, India

• Courses: Object Oriented Programming, Database Management Systems, Operating Systems, Software Engineering, Linux/Unix

RESEARCH PAPER

Text Summarization for weather forecasting using Machine learning: Developed a robust framework for summarizing complex meteorological data using advanced machine learning models, specifically Long Short-Term Memory (LSTM) and Transformer architectures. The research involved collecting and preprocessing high-frequency weather data, training the neural models to capture both short-term and long-term patterns, and evaluating their effectiveness in accurately summarizing weather conditions. The aim was to enhance the accessibility and usability of weather forecasts, providing more comprehensible summaries to aid decision-making in sectors like agriculture, transportation, and disaster management.

RECENT PROJECTS

Text Summarization for weather forecasting using Machine learning Automatic quiz generation

Facial Recognition Security Systems

LZ Compression

ESL Master

Online Book store

CERTIFICATIONS

• ISTQB Certified Tester Foundation Level (CTFL) - 2024

• Mobile Testing with Appium

• Selenium Automation and Testing Frameworks

• Agile Testing

• Alpha Testing in Agile World

• TDD Using Python Unittest

• Java Testing Specialization

• API Testing Using Rest Assured Test Automation Tool

• Microsoft Technology Associate: Software Development Fundamentals (MTA)

• Microsoft Office Specialist Master Certification (MOS)

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