Enterprise Audit Workflow Automation
Worked on automation coverage for an enterprise audit platform, focusing on repeatable validation flows used in business-critical testing cycles.
Hi there! 👋
QA Automation Engineer | 3+ Years of Experience
I build and maintain automation for enterprise audit workflows, covering script creation, execution, result analysis, and bug fixing within an existing automation framework. I am also building AI agents to support testing workflows and improve engineering efficiency.
I'm a QA Automation Engineer at Orion Innovation working on an enterprise audit platform. I have automated 100+ scripts, handled a full testing track independently, and suggested practical framework improvements.
My work goes beyond execution. I focus on reliable testing workflows using Playwright, Selenium, MCP automation, TypeScript, and Python.
I am also building AI testing tools, including a test case generator that fetches user stories from Azure DevOps, converts them into review-ready test cases, and uploads them back to ADO after validation. I am deep diving into context-aware AI and RAG to solve practical testing problems.
Beyond engineering, I am interested in design and astrophysics, which keep me curious about structure, creativity, and how complex systems work.
Current
As a QA Automation Engineer with 3+ years of experience, I support quality delivery for an enterprise audit platform by creating automation scripts, executing runs, analyzing results, and fixing framework-level issues that affect reliability.
Beyond core automation work, I am actively building AI agents for testing workflows and expanding repeatable coverage across business-critical scenarios. I have also been recognized with the Rising Star and Star of the Month awards for contributions to automation quality.
Kochi, Kerala, India
Worked on automation coverage for an enterprise audit platform, focusing on repeatable validation flows used in business-critical testing cycles.
Owned script creation, execution, result analysis, and bug fixes within an existing automation setup while helping maintain quality across audit-focused workflows.
Building lightweight AI agents to support testing workflows, reduce manual repetition, and explore faster ways to assist QA decision-making.
MACFAST (Mar Athanasios College for Advanced Studies Tiruvalla)
India
MG University
India
Recognized with Rising Star, Star of the Month, and AZ-900.