As someone who transitioned from software development and data science into the world of quality assurance (QA), my first weeks at System Verification were a whirlwind of discovery. While my expertise in machine learning (ML) and MLOps was warmly welcomed, I quickly realized I had to learn more about QA and testing. It was a steep learning curve, but the eagerness of my colleagues for technical insights gave me a clear mission: to bridge the gap between our strong QA foundation and the rapidly evolving AI landscape.