Kajalben hirenkumar T.
Senior Data Quality Assurance Engineer
Professional Summary Senior Quality Engineering leader with 12+ years of experience transforming enterprise-scale testing ecosystems. Expert in delivering automated, cloud-native, and AI-augmented engineering solutions across SaaS, Data, and Mobile platforms. Proven track record of modernizing legacy frameworks, accelerating CI/CD pipelines, and integrating AI workflows (Claude Code, Cursor, GitHub Copilot) to drive productivity and release confidence. Core Technical Competencies Automation Frameworks: Playwright, WebdriverIO, Cypress, Appium 2.0, Selenium. AI-Augmented Engineering: MCP-based workflows, AI-assisted code generation, automated debugging, and intelligent PR reviews. CI/CD & DevOps: GitHub Actions, Azure DevOps, Jenkins, Docker, Kubernetes. Tech Stack: TypeScript, Python, Go, SQL, Snowflake, AWS, Azure, GCP. Key Achievements AI Transformation: Implemented AI-powered workflows for test case generation, root cause analysis, and framework scaffolding, significantly reducing development cycles and engineering overhead. Execution Optimization: Architected CI/CD pipelines that reduced regression execution times from 8+ hours to under 2 hours through parallelization and intelligent suite segmentation. Quality Governance: Built centralized observability dashboards (QASE/Jira/Custom) that increased pipeline stability from 85% to 98% and reduced failure investigation time by 70%. Strategic Impact: Partnered with cross-functional leadership to shift from manual-heavy processes to automation-first strategies, directly accelerating feature delivery and reducing production risks. Leadership & Methodology Expert in designing Quality Governance models within Agile, SAFe, and Continuous Delivery environments. Committed to mentoring teams, establishing coding standards, and bridging the gap between business objectives and technical execution. Adept at leveraging modern tooling to optimize infrastructure costs, improve developer velocity, and ensure long-term product reliability.