Anam Hira is a Machine Learning researcher and co-founder of Revyl.ai, pioneering automated mobile testing powered by LLMs. As a key contributor to Uber's DragonCrawl project, he helped develop an innovative testing framework that caught 11 critical bugs and delivered $25M in savings within just four months. Building on DragonCrawl's success, Anam founded Revyl.ai to democratize AI-powered testing for enterprises worldwide. 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.