Gitanjali Saxena
Regression Test Engineer · 3 years experience
Bhopal, Madhya Pradesh
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Professional Summary
- Dedicated Regression Test Engineer with 3 years of experience maintaining stable application behavior
- Proficient in planning and executing regression test suites
- Skilled in automation maintenance and release gating processes
- Experienced in analyzing test failures and coordinating fixes
- Knowledgeable in prioritizing test cases for nightly runs
- Familiar with reducing false positives in regression testing
- Collaborative professional working with development teams
- Strong attention to detail for identifying regression issues
Work Experience
Regression Test Engineer
[Company name] · [Start date – End date]
3 years of experience as a Regression Test Engineer at software companies in Bhopal. Focused on maintaining regression suites, analyzing failures, and ensuring release quality.
Responsibilities
- Plan and maintain regression test suites
- Execute regression tests and analyze results
- Coordinate fixes for identified issues
- Prioritize test cases for efficient execution
- Maintain automation scripts and frameworks
- Report regression testing status and metrics
- Collaborate with teams on release readiness
- Optimize testing processes for better coverage
- Use GitHub Copilot for AI-generated regression test code, implement stable locators, and apply AI-powered smart test selection to optimize CI/CD regression execution time
Project Experience
Nightly Regression Suite Optimization
Optimized nightly regression suite, reducing false positives by 40% and improving execution reliability. Technologies: Selenium, TestNG, CI/CD.
Release Gating Process
Implemented release gating with regression testing, preventing defective releases and ensuring stability. Technologies: JIRA, Test Management Tools, SQL.
Failure Analysis and Coordination
Analyzed regression failures, coordinated with developers for fixes, and maintained test suite health. Technologies: Bug Tracking, CI/CD, Performance Testing.
AI-Powered Regression Suite Optimization
Implemented machine learning-based test selection model that analyzes code change impact and selects the minimal high-risk test subset, reducing nightly regression runtime by 55%. Used GitHub Copilot to refactor 200+ flaky Selenium tests to self-healing Playwright TypeScript. Technologies: Playwright, TypeScript, GitHub Copilot, Test Maintenance, AI-Powered Test Selection, CI/CD.