I'm a technology polymath at the intersection of quality engineering and artificial intelligence. With 8+ years as an SDET in FinTech, I've mastered the art of ensuring software reliability while nurturing my longstanding passion for AI and machine learning.My journey in tech is unique, it includes a foundation in Data Science that I built through formal education, followed by years of hands-on experience in software quality engineering. Now, as the AI industry has matured and evolved, I'm actively pursuing my original passion, bringing with me a valuable combination of practical software engineering experience and data science knowledge.In my current role, I architect and implement robust automation frameworks for UI and API testing, ensuring seamless user experiences in complex financial systems. This experience in building scalable solutions has given me a unique perspective on how AI/ML can be effectively integrated into enterprise-level applications.I thrive on transforming complex technical challenges into elegant solutions, combining rigorous engineering practices with innovative problem-solving techniques. My diverse background allows me to bridge the gap between traditional software engineering and emerging AI technologies, bringing a holistic approach to problem-solving.Core Competencies:Test Automation Architecture & ImplementationFull-Stack Testing (UI, API, System)Agile & DevOps PracticesData-Driven Decision MakingAnalytical Problem SolvingCurrently deepening my expertise in artificial intelligence and machine learning, building upon my academic foundation while leveraging years of software engineering experience.Open to conversations about innovation, technology, and the exciting convergence of traditional software engineering with AI. I believe my unique journey positions me well to contribute to the next wave of technological advancement.🔗 Let's connect to explore how we can push the boundaries of what's possible in tech!