Qa Automation Test

PAVANIREDDY MULLA

Omaha, NE +1-531-***-****

***************@*****.***

www.linkedin.com/in/pavanireddymulla122

PROFESSIONAL SUMMARY

11+ years of comprehensive experience in Software Testing, with a strong focus on Automation Framework Development, Test Management, and QA Automation across domains including Education, Railways, Banking, and Insurance.

Hands-on experience with n8n for building scalable, low-code automation workflows across QA, CI/CD, cloud, and business operations.

Proven expertise in designing and executing robust test strategies using Selenium WebDriver, TestNG, Cucumber, and Core Java, with a strong track record of developing scalable and maintainable automation frameworks using tools like Selenium, Playwright, Cypress, Test Rigor, Katalon Studio, and Eggplant, ensuring high test coverage, reusability, and minimal defect leakage across diverse applications.

Strong programming skills in JavaScript, Python, and experience with custom n8n function nodes for advanced logic handling.

Proven track record in automating repetitive tasks, improving process efficiency, and reducing manual errors.

Experience with tools like Zapier, Make (Integromat), Jenkins, GitHub Actions for infrastructure and workflow automation.

Proficient in modern testing methodologies: BDD (Cucumber), Data-Driven, Hybrid, Page Object Model (POM), Lambda Test, and Robot Framework for building maintainable, scalable test suites.

Proficient in cloud platforms including AWS (EC2, S3, IAM, RDS), Azure, and GCP, with a strong focus on scalable and secure test environments.

Integrated Cursor AI-generated scripts into CI/CD pipelines (Jenkins, GitLab) for continuous and parallel test execution.

Performed AI-driven code reviews within Cursor to ensure adherence to best practices, performance optimization, and security compliance.

Collaborated with development teams to integrate automated tests into the build process, reducing manual testing efforts and accelerating release cycles.

DevOps & CI/CD expert leveraging Jenkins, GitLab CI, GitHub Actions, along with Docker to integrate automated tests into development pipelines and ensure rapid, reliable releases.

Strong programming and scripting skills in Java, Python, and Bash/Shell for developing custom automation tools, libraries, and test harnesses.

Test management proficiency with JIRA (XRAY/Zephyr), HP ALM, TestRail, and Redmine; adept at using AI-driven tools (ChatGPT, Claude, Google Gemini, GitHub Copilot, Vibe code, Test Rigor) to generate and optimize test cases.

Agile team player with a track record of cross-functional collaboration, conducting peer code reviews, and championing quality best practices throughout the development lifecycle.

Proficient in executing comprehensive test strategies, including Functional, Integration, Regression, and User Acceptance Testing (UAT), ensuring software reliability and compliance.

Skilled in developing detailed test plans and cases, identifying critical defects, and collaborating with cross-functional teams to enhance product quality.

Developed Test Plans, Test Scenarios, Test Cases, Traceability Matrices (RTM), and Test Summary Reports; ensured complete coverage of business and technical requirements TECHNICAL SKILLS

Workflow Automation Tools: n8n, Zapier, Make (Integromat), Apache Airflow, Cursior AI.

Test Automation Tools: Selenium, Playwright, Cypress, TestRigor, Katalon Studio, Eggplant, TestNG, JUnit, Cucumber (BDD)

Frameworks: BDD (Cucumber), Data-Driven, Hybrid, Page Object Model (POM), Lambda Framework, Robot Framework

Cloud Platforms: AWS (EC2, S3, Lambda, CloudWatch), GCP (Compute, Storage, Pub/Sub), Azure

DevOps & CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, Bitbucket Pipelines

Programming & Scripting Languages: Java, Python, VBScript, Shell, Bash, Groovy (Jenkins)

Test & Defect Management Tools: HP ALM / Quality Center, JIRA (Xray/Zephyr), Redmine, TestRail

AI Tools for QA: Test Rigor, Cursior, ChatGPT, Claude, Gemini, Copilot (Copalite) for AI-powered test automation, planning, and analysis

API Automation & Integration: REST Assured, Postman, Swagger, SOAP UI, GraphQL, API Orchestration with n8

IDEs & Utilities: IntelliJ IDEA, Eclipse, Visual Studio Code, Agile/Scrum Methodologies

Manual Testing: SDLC, STLC, Test Planning, Test Case Design, Execution, Regression Testing, Exploratory Testing, Defect Reporting

Log Management & Observability: Kibana, Kafka

Build & Configuration Tools: Maven, Ant, Jenkins, Redmine

Version Control & Collaboration: Git, GitHub, Bitbucket, Jira, Confluence, Slack Integration via n8n

Databases & Data Integration: MySQL, PostgreSQL, MongoDB, Google Sheets API, n8n

Monitoring & Logging: Splunk, AWS CloudWatch, ELK Stack

OS Environments: Linux/Unix, Windows

Others: JSON, YAML, XML, Regular Expressions, Webhooks, OAuth2 authentication CERIFICATIONS

agents-agentic-ai-fundamentals (June 2025)

lFS180-introduction-to-devsecops-for-managers (May 2025)

Artificial Intelligence with Python by CS50 (Apr 2025)

Introduction DevOps and CI/CD automation (Apr 2025)

ChatGPT for Everyone (Feb 2025)

AI for beginners HP (Feb 2025)

Agile Project Management Foundation HP (Feb 2025)

ChatGPT for SEO and Content (Dec 2024)

AI Appreciate Badge - AI For All (Dec 2024)

AWS Certifications (Nov 2024)

AI Aware Badge - AI For All (Nov 2024)

Selenium WebDriver with Java & Cucumber BDD (Nov 2023)

Linux Shell Scripting_ A Project-Based Approach to Learning (Nov 2023)

DevOps_ CI_CD with Jenkins pipelines, Maven, Gradle (Nov 2023)

AZ-303 Azure Architecture Technologies Exam Prep (Nov 2023)

AWS Certified Cloud Practitioner (CLF-C02) Exam Training (Oct 2023)

GCP Associate Cloud Engineer Certification _ Google Cloud (May 2022)

Selenium WebDriver + Java. Complete step-by-step course (Dec 2019) PROFESSIONAL EXPERIENCE

Union Pacific Railroad (UPRR) US QA Automation & AI Test Engineer May 2024 – till now Project Title : Positive Train Control (PTC)Testing Client : Union Pacific Railroad (UPRR) USA- Omaha, NE Tools : Selenium, Curser AI, Playwright, Cypress, n8n, Test Rigor, Cucumber (BDD), Azure, Postman, REST Assured, TestNG, Cucumber, Core Java, JIRA (XRAY/Zephyr), Redmine, HPALM, Java, Python, Jenkins, GitHub Actions, GitLab CI, ChatGPT, Docker, Kibana, Kafka, AWS Description:

Positive Train Control (PTC) System Testing – Union Pacific Railroad Worked on testing the Positive Train Control (PTC) system, a U.S. government safety initiative designed to prevent train collisions, derailments, and unauthorized movements. Tested core modules, including Onboard (CDU), BOS, CAD, MDM, and Subdivision Files. Verified communication between locomotives, wayside devices, and office systems, including direct remote messaging. Helped ensure movement authority, automatic braking, and operational safety across Union Pacific’s 23-state rail network.

Responsibilities:

Led AI-driven QA initiatives across the SDLC in Agile and hybrid environments, ensuring delivery of high- quality software aligned with business requirements.

Designed and implemented scalable automation frameworks using Selenium WebDriver, TestNG, Cucumber, and Core Java, tailored to project needs.

Developed and maintained web, API, and backend test suites using Playwright (TypeScript), Cypress

(JavaScript), Selenium, TestRigor, Katalon Studio, Eggplant, and Robot Framework.

Utilized Cursor AI for natural-language coding, intelligent code suggestions, bulk rewrites, and AI-assisted refactoring to accelerate test automation delivery.

Created n8n-based automation workflows integrating APIs, databases, messaging tools, and cloud platforms for end-to-end test execution and reporting.

Built custom automation for DevOps tasks such as CI/CD triggers, infrastructure monitoring, and real-time Slack/email notifications.

Performed API testing and integration validation using Postman and REST Assured across systems like CAD, BOS, and MDM.

Integrated automation into CI/CD pipelines (Jenkins, GitLab) with parallel execution, retry logic, and detailed reporting to minimize flaky tests.

Conducted cross-browser and compatibility testing using LambdaTest, Selenium Grid, and Azure-hosted environments.

Executed functional and regression testing on enterprise systems (DPMS, CADX) to ensure accurate business rule implementation and system integrity.

Applied data-driven, keyword-driven, and risk-based regression techniques to maximize coverage and maintainability.

Managed test lifecycle using JIRA (Xray/Zephyr), HP ALM, and Redmine, ensuring defect traceability and compliance.

Leveraged AI tools (ChatGPT, Claude, Gemini) for test scenario generation, acceptance criteria creation, and documentation.

Used GitHub Copilot for AI-assisted framework development in Python, JavaScript, and Terraform.

Integrated AI-powered tools into pipelines for dynamic test generation, predictive regression, and real- time quality monitoring.

Performed AI-enhanced exploratory testing with log summarization, defect clustering, and intelligent triage for faster root cause analysis.

Created Kubernetes/Docker validation scripts using AI insights to assess scalability, resiliency, and performance.

Collaborated with developers and product owners via AI agents to simulate edge-case scenarios and detect usability issues early.

TECHMAHINDRA, INDIA SDET & DevOps Engineer Aug 2018 – Jan 2024 Project Title : Positive Train Control (PTC)Testing Client : Union Pacific Railroad

Tools : Selenium, Playwright, Cypress, Test Rigor, JIRA (XRAY/Zephyr), Redmine, HPALM, GitLab, Java, Jenkins, GitHub, ChatGPT, Docker, Kibana, Kafka, AWS Description:

Positive Train Control (PTC) System Testing – Union Pacific Railroad Contributed to testing and validation of PTC, a federally mandated safety system designed to prevent train collisions, overspeed derailments, and unauthorized movements. Involved in end-to-end testing of key modules, including Onboard

(locomotive CDU), BOS, CAD, MDM, and Subdivision Files. Supported direct and indirect communication testing between locomotives, wayside devices, and office systems to ensure safety and compliance across a 23-state railroad infrastructure

Responsibilities:

Led QA efforts across the SDLC, delivering high-quality software aligned with business and functional requirements across Agile and hybrid development models.

Conducted comprehensive manual and exploratory testing of web and desktop applications to validate UI/UX, business logic, and functional workflows.

Designed and implemented scalable automation frameworks using Selenium WebDriver, TestNG, Cucumber, and Core Java, customized per project needs.

Developed and maintained end-to-end automated tests for web, API, and backend services using Playwright (TypeScript), Cypress (JavaScript), Selenium, TestRigor, Katalon Studio, Eggplant, and Robot Framework.

Performed backend API validations using REST Assured and Postman, verifying integration flows, headers, payloads, and status codes across CAD, BOS, and MDM modules.

Integrated test suites into CI/CD pipelines (Jenkins, GitLab) with parallel execution and test retries to reduce execution time and minimize flaky failures.

Utilized Playwright Test Runner and Cypress Dashboard for execution visualization, debugging, and video- based failure analysis.

Conducted cross-browser testing using LambdaTest, Selenium Grid, and Azure-hosted environments to ensure compatibility across platforms.

Executed and validated enterprise systems like DPMS and CADX, ensuring data accuracy, integration stability, and functional correctness.

Created data-driven and keyword-driven test cases to improve reusability, scalability, and long-term maintainability of the automation suite.

Managed test planning, execution, and defect lifecycle using HP ALM, JIRA (Xray/Zephyr), Redmine, and maintained traceability and compliance.

Actively participated in daily stand-ups, sprint planning, code reviews, and retrospectives to align test strategy and foster continuous improvement.

Supported UAT and post-release verification, quickly identifying issues and verifying hotfixes in production environments.

Leveraged TestRigor for no-code automation using natural language, enabling non-technical stakeholders to contribute and accelerating test coverage.

Utilized ChatGPT, Claude, and Gemini to generate intelligent test scenarios, acceptance criteria, and living documentation from user stories.

Employed GitHub Copilot (Copalite) for real-time code suggestions, test scaffolding, and framework development in Python, JavaScript, and Terraform.

Integrated AI-driven tools into CI/CD pipelines for dynamic test generation, risk-based prioritization, and continuous quality monitoring.

Conducted AI-enhanced exploratory testing with log summarization and smart bug triaging, reducing triage effort and improving RCA accuracy.

Developed smart validation scripts with AI-assisted recommendations to test resilience and scalability in Kubernetes/Docker environments.

Collaborated with developers and product teams via AI chat agents, simulating edge-case scenarios to detect hidden usability and flow issues.

Improved regression test planning using AI-based pattern analysis and test history analytics to identify high- risk areas and ensure test depth.

ENTECH TECHNOLOGIES(IBM) Sr. Test Engineer Sep 2016 - May 2018 Project Title : Development Banking of Singapore, Singapore Client : DBS

Tools : Selenium, QTP/UFT, JIRA, HPALM, GitLab, Python, JIRA, Redmine, Jenkins, Docker, Description:

DBS Group will divest the ANZ Bank by building a technical platform and business operations to support all Credit Card banking in DBS. This platform will be a mirror of the current ANZ Credit card platform. The data associated with the ANZ Bank business (e.g., Credit Card, Payment, and Page Analysis) will be transferred to a separate technical and operational platform. After Legal Closing, the platform could be enhanced and optimized as per the new DBS strategic agenda. Responsibilities:

Built a hybrid automation framework using Selenium WebDriver integrated with TestNG and Cucumber for BDD-based UI and regression testing. Employed Page Object Model (POM) to enhance maintainability.

Created detailed test plans, test scenarios, and test cases using JIRA, HP ALM, and Redmine, ensuring clear traceability and coverage.

Logged, tracked, and managed defects using JIRA and HP ALM, collaborating with development teams to ensure swift resolution.

Developed and maintained robust automation frameworks using Selenium (Java, Python) for regression, smoke, and functional testing of banking applications.

Configured and maintained CI/CD pipelines using Jenkins and GitLab for automated test execution, accelerating feedback on code quality.

Utilized Docker for creating and maintaining consistent test environments, ensuring reliability across different test environments.

Regularly executed regression test suites to ensure system stability after updates and new feature implementations.

Validated data security and compliance requirements for banking applications, ensuring adherence to industry standards.

Coordinated with cross-functional teams, including developers, business analysts, and project managers, to align on test strategies and requirements.

Designed and maintained secure, reusable test data for consistent test execution.

Prepared clear and detailed test reports, defect reports, and test summary documents for stakeholders.

Conducted performance testing for critical banking modules, identifying bottlenecks and optimizing system performance.

Identified opportunities to enhance test processes and automation strategies, contributing to continuous quality improvement.

ENTECH TECHNOLOGIES(IBM) Software Test Engineer Feb 2014 - Aug 2016 Project Title : The Renters' Insurance

Client : Elliot Insurance Company, USA

Tools : Manual Testing, Bugzilla, HPQC, SVN

Description:

Renters' insurance is designed for home insurance that protects the holder against accidents, damage, and losses that occur in a rented residence. Renter's insurance provides coverage both for the insured’s belongings and for liability that may result from an accident in the insured's home. Many policies cover replacement cost, meaning that the insured will receive the money necessary to purchase a new item that is equivalent to the damaged one instead of a portion of that cost adjusted for depreciation.

Responsibilities:

• Analysed business requirements and technical specifications to design detailed test cases covering functional, UI, and regression scenarios for the Renters' Insurance application.

• Conducted end-to-end manual testing of insurance modules, including policy creation, quote generation, premium calculation, and claims processing.

• Logged, tracked, and managed software defects using Bugzilla, ensuring accurate categorization, severity assignment, and timely resolution.

• Utilized HP Quality Center (HPQC) for test case creation, execution, and status tracking, ensuring comprehensive test coverage.

• Prepared and maintained test plans, test cases, test scripts, and test summary reports, providing clear visibility of test progress and quality metrics.

• Worked closely with developers to understand application logic, reproduce issues, and validate bug fixes, ensuring smooth defect resolution.

• Conducted thorough regression testing after each deployment to ensure existing functionality remained intact and unaffected by new changes.

• Managed test artifacts and version control using SVN, ensuring consistent and up-to-date test assets across the team.

• Collaborated with environment management teams to set up and maintain the test environment, ensuring it mirrored production configurations.

• Provided regular test status updates, test execution reports, and defect reports to stakeholders, ensuring clear communication of test progress and quality outcomes. ACHIEVEMENTS

• BRAVO Award (May 2022)

• AQT NINJA Award (February 2022)

• BEST Team Award (April 2021)

• BRAVO Award (November 2019)

EDUCATION

• B. Com (Bachelor of Commerce) from Singhania University. (2011)

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