I am an Engineering graduate and Technology Lead with over a decade of experience in test automation, specializing in building scalable, enterprise-grade frameworks for desktop and web applications, APIs, databases, microservices, and ERP/CRM systems. Passionate about bridging the gap between traditional automation and emerging AI technologies, I aim to create frameworks that are not only robust and scalable but also intelligent, adaptive, and future-ready.
Throughout my career, I’ve worked as a Test Automation Engineer/ Lead/ Architect across diverse domains, including Banking, Health Insurance, Financial Trading, and SaaS platforms. I have designed and implemented scalable, maintainable test automation frameworks for UI, API, and database testing.
In addition to hands-on development, I have led test automation strategy, mentored engineering teams, and established best practices and coding standards to ensure successful automation outcomes. I’ve worked closely with developers, business stakeholders, and DevOps teams to deliver scalable and maintainable automation solutions.
With expertise in object-oriented programming and a proven track record of leading end-to-end automation initiatives, I help organizations minimize quality risks, accelerate release cycles, and advance QA maturity across complex, cross-technology enterprise ecosystems.
Currently, I am diving deep into AI and LLM testing—exploring how large language models, AI-driven tools, and prompt engineering can reshape quality assurance, test coverage, and red-teaming approaches in modern software development.
