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QA Automation Engineer with 2+ years in Test Automation & AI-driven Workflows
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Results-driven QA Automation Engineer with 2+ years of experience designing and implementing scalable test automation frameworks for UI and REST API testing. Proficient in Java, Selenium WebDriver, TestNG, and REST Assured with a proven record of reducing testing cycle time by 40% and improving test coverage by 30% in Agile environments. Experienced in CI/CD pipeline integration using Jenkins, BDD/Page Object Model (POM) framework architecture, and end-to-end defect lifecycle management via JIRA. Multiple-award recipient (High Flyers & Distinguished Contributor) at KPIT Technologies. Passionate about integrating AI-driven automation workflows to modernize QA practices.
Chandigarh University
Bachelor of Engineering (B.E.) · Computer Science & Engineering
August 1, 2019 – June 1, 2023
KPIT Technologies
Software Engineer - QA Automation
November 1, 2023 – Present
Pune, Maharashtra, India
KPIT Technologies
Intern / Graduate Engineering Trainee
January 1, 2023 – November 1, 2023
Pune, Maharashtra, India
AI-Assisted Test Case Generation & Defect Automation
January 1, 2025 – January 1, 2025
Architected an end-to-end AI-powered QA workflow using n8n that auto-generates valid/invalid test scenarios from JIRA ticket context via an AI Agent, eliminating manual test design effort. Automated test case documentation by pushing AI-generated cases directly into Google Sheets for real-time QA team visibility. Implemented conditional automation logic to auto-raise JIRA defects when a test case is marked failed - fully closing the test-to-defect lifecycle without human intervention. Reduced manual test design and bug-reporting effort by an estimated 60%.
RESTful Booker API Automation Framework
January 1, 2025 – January 1, 2025
Developed a full API automation framework for a hotel booking application using REST Assured and TestNG, covering all CRUD endpoints. Achieved 90% API test coverage via reusable request builders, response validators, and data-driven inputs. Validated HTTP status codes, request/response payloads, and data consistency including authentication flows.
Selenium WebDriver with Java – Basics to Advanced + Frameworks
Udemy
May 1, 2025 – Present
The Complete 2024 Software Testing Bootcamp
Udemy
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including AI-assisted test case generation and API automation, indicates a proactive and innovative mindset. Their experience in both general software QA and specialized automotive embedded systems shows adaptability and a broad skill set. The consistent delivery and problem-solving skills highlighted by awards suggest a strong work ethic and commitment, fitting well into a performance-driven culture. Their active contribution to the automation testing community also points to a desire for continuous learning and sharing.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by root cause analysis on defects and authoring reusable utility libraries. Their collaboration with developers and product owners in Agile sprints indicates good teamwork and communication. The awards received (High Flyers, Distinguished Contributor) suggest a proactive and high-performing work attitude. The candidate's passion for AI-driven automation aligns well with modern QA practices.