Anam Hira is a Machine Learning researcher and co-founder of Revyl.ai, pioneering automated mobile testing powered by LLMs. At Uber he helped develop the DragonCrawl testing framework that caught 11 critical bugs and delivered $25M in savings within just four months. His work spans the intersection of machine learning, mobile development, and quality assurance, with a focus on making sophisticated testing technology accessible to development teams of all sizes.