Mayank Vadaliya’s work on factory systems is anchored in a conviction that most industrial AI initiatives fail not because the algorithms are inadequate, but because the foundational signal layer beneath them hasn’t been built with enough discipline—and that self-healing architecture is the result of rigorous engineering, not a feature you toggle on top of an unstable base. Drawing on hands-on experience in enterprise manufacturing software at Tesla and academic research in reinforcement learning, he argues that the path to zero unplanned downtime runs through three unsolved problems that must be addressed together: interoperability, safety verification, and realistic simulation environments.