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Sample resume with fictional details. Replace the content with your own experience and qualifications. Format: Project focused.

Sample resume

Vidya Narayan

Senior Automation Engineer · 8 years experience

Kolkata, West Bengal

[Your email] · [Your phone]
[Your LinkedIn URL] · [Your GitHub / Portfolio URL]

Professional Summary

  • Seasoned Senior Automation Engineer with 8 years of expertise leading automation initiatives and framework development
  • Specialized in designing scalable automation frameworks using Selenium, Playwright, and UiPath for enterprise applications
  • Expert in implementing CI/CD pipelines with comprehensive automation integration using Jenkins, GitHub Actions, and Azure DevOps
  • Proficient in API testing, UI automation, and performance testing with tools like Rest Assured and JMeter
  • Experienced mentor who guides junior engineers in automation best practices and coding standards
  • Skilled in cloud-based testing with AWS, Azure, and Kubernetes for distributed and containerized environments
  • Adept at data-driven testing approaches and test analytics to improve test effectiveness and reliability
  • Collaborative leader who works with cross-functional teams to establish automation strategies and improve coverage

Project Experience

Enterprise ERP Automation Migration

Led the migration from legacy automation tools to a modern Selenium-based framework for a large ERP system. Technologies: Selenium, Java, TestNG, Jenkins, AWS. Improved test execution speed by 65% and introduced test analytics dashboard.

Cloud-Native Application Test Suite

Developed comprehensive test automation for cloud-native applications with microservices architecture. Technologies: Playwright, Python, pytest, GitHub Actions, Azure. Achieved 90% automation coverage and reduced release cycle time by 40%.

RPA Process Automation

Implemented RPA solutions for business process automation and testing workflows. Technologies: UiPath, C#, .NET, UiPath Orchestrator, Azure. Automated 15+ manual processes saving 200+ hours monthly.

AI Test Innovation Program

Directed enterprise-wide AI testing transformation: deployed GitHub Copilot for test engineering teams (saving 120+ hours/month), introduced Applitools Eyes for visual AI testing across 5 product lines, implemented DeepEval for LLM feature quality gates, and established agentic workflow testing standards with OpenTelemetry observability. Technologies: GitHub Copilot, Applitools, DeepEval, k6, Agentic Workflow Testing, OpenTelemetry, Playwright, Azure DevOps.

Work Experience

Senior Automation Engineer

[Company name] · [Start date – End date]

8 years in automation engineering leading initiatives to modernize testing practices and improve software quality. Extensive experience with both traditional and modern automation tools including RPA and AI-assisted testing, with deep expertise in framework architecture and driving adoption across organizations.

Responsibilities

  • Lead automation framework design and development using industry-standard tools
  • Implement and maintain CI/CD pipelines with integrated automation testing
  • Perform comprehensive testing including API, UI, performance, and RPA validation
  • Mentor junior engineers and establish coding standards and best practices
  • Collaborate with teams to identify automation opportunities and improve test strategies
  • Design data-driven testing approaches and implement test analytics
  • Work with cloud platforms and containerization technologies for scalable testing
  • Participate in code reviews and provide feedback on automation potential
  • Drive adoption of modern testing methodologies and tools
  • Contribute to organizational automation strategy and roadmap
  • Lead organizational AI testing transformation: GitHub Copilot program management, Applitools visual AI governance, DeepEval-based LLM testing frameworks, and agentic workflow validation standards at enterprise scale
  • Establish intelligent test infrastructure: ML-based test selection, self-healing automation ecosystems, and OpenTelemetry-integrated AI observability