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Chinmaya Karthik Botta

Software Engineer in Test • McKinney, TX

Professional Summary

Software Engineer in Test with 4+ years of experience building and integrating web, API, mobile and performance test automation in telecom and healthcare domains. Adept at designing Selenium and Playwright frameworks, validating REST services on AWS, driving CI/CD quality gates with GitHub Actions and Jenkins, and leveraging AI-powered pipelines to accelerate test generation and reporting.

Technical Skills

Programming Language: Java,JavaScript,Python,SQL
Databases: Oracle,Cassandra
Cloud Platforms: AWS,S3,Microsoft Azure
DevOps & Infrastructure: GitHub Actions,Jenkins,Docker,CloudWatch
Testing & QA: Selenium WebDriver,Cucumber,Playwright,Appium,Integration Testing,BDD,Functional Testing,Regression Testing,End-to-End Testing,HeadSpin,JMeter
API & Integrations: API Gateway,Postman
Generative AI & LLMs: Claude,Model Context Protocol
Project Management & Collaboration: Agile,Scrum

Work Experience

Verizon
Irving, TX
Software Engineer in Test
Feb 2024 – Present
Supported quality for telecom self-service portals and internal order-management APIs, focusing on web, mobile and AI-enabled customer experiences.
Tech Stack: Selenium WebDriver, Playwright, Java, JavaScript, Postman, AWS API Gateway, AWS CloudWatch, GitHub Actions, Jenkins, Docker, Cucumber, JMeter, Oracle, Cassandra, Claude AI, Model Context Protocol, HeadSpin, Appium, Azure Playwright Workspaces
  • Built reusable Playwright using JavaScript and Selenium WebDriver frameworks that execute full functional, regression and end-to-end suites for customer-care web applications.
  • Automated REST API validation for AWS API Gateway endpoints using Postman and Playwright calls, including negative scenarios for malformed payloads and expired tokens.
  • Investigated production failures by correlating test results with AWS CloudWatch logs and S3-based output files, speeding root-cause identification of timeout and data-processing errors.
  • Executed JMeter load tests to measure response time and stability of AI-driven recommendation services under sustained concurrent user traffic.
  • Wired Cucumber BDD suites into GitHub Actions and Jenkins pipelines containerised with Docker, enabling pull-request and quality gates with actionable reports.
  • Created a Claude AI–driven multi-agent QA pipeline that autogenerates test scripts, triggers regressions and posts results, cutting manual test authoring time for new user stories.
KIMS Hospitals
Hyderabad, India
QA Automation Tester
Aug 2021 – Aug 2022
Ensured quality of hospital management and patient-facing software modules used across clinical operations and billing.
Tech Stack: Python
  • Designed and executed manual and automated test cases for patient registration, billing and laboratory modules, ensuring functional correctness and usability.
  • Developed Python utilities to seed test data and validate results, reducing repetitive setup effort and shortening overall regression cycles.
  • Performed regression and integration testing of release candidates, documenting defects in the organisation’s defect management system through closure.
  • Collaborated with product owners and developers during Agile ceremonies to clarify acceptance criteria and prioritise high-risk scenarios.
  • Produced detailed test plans, traceability matrices and execution reports for internal quality audits and management reviews.
  • Coordinated user acceptance sessions with hospital operations stakeholders, capturing feedback that informed interface and workflow improvements.
BSCPL Infrastructure
Hyderabad, India
QA Automation Tester
Jun 2020 – Jul 2021
Validated internal ERP and project-tracking applications for a large civil and infrastructure construction company.
Tech Stack: Python
  • Executed functional and usability tests on internal enterprise tools, verifying calculations, data accuracy and adherence to business rules for project management workflows.
  • Assisted in drafting comprehensive test plans and cases, leveraging Python scripts to automate repetitive validation steps and speed execution.
  • Logged and tracked defects through the organisation’s issue management workflow, verifying fixes and preventing regression leaks.
  • Participated in requirements walkthroughs to identify ambiguities early, reducing downstream defect volume.
  • Worked with infrastructure teams to replicate environment-specific issues in test beds and validate patches during scheduled maintenance windows.
  • Compiled weekly quality dashboards outlining execution progress, open defect counts and risk areas for project stakeholders.

Education

University of Michigan–Dearborn
Master of Science in Data Science • Dearborn, MI • Sep 2022 – Apr 2024
VNR Vignana Jyothi Institute of Engineering and Technology
Bachelor of Engineering in Computer Science and Engineering • Hyderabad, India • Jun 2018 – Jul 2022

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