A professional journey marked by passion and persistence.

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.

I began my career as a System Engineer, specializing in Windows desktop application testing and MSI (Microsoft Installer) packaging. This early focus on installation engineering involved creating and customizing deployment packages, managing complex dependencies, and ensuring consistent rollouts across enterprise environments. It also provided foundational experience in release management, system integration, and the importance of automation in large-scale IT systems.

As a certified Java developer, I transitioned into test automation—combining technical depth with a passion for quality engineering and software craftsmanship.

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 using tools such as Selenium, Appium, Cucumber, TestNG, and Jenkins.

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.