Mike Leonard is a Software Architect at Quadric, where he leads development of the graph compiler stack and programming models behind the Chimera GPNPU processor. His work bridges advanced hardware-software co-design with real-world AI deployment, enabling developers to efficiently run modern neural networks at the edge. As a lead architect of the Chimera Graph Compiler, Mike and his team have delivered automated support for hundreds of CNN and transformer models, achieving high performance through aggressive operator fusion, layout optimization and intelligent, automated memory management. Mike also created ChiPy, a Python-based, tensor-level programming model that combines the productivity AI developers expect with performance tuned for specialized AI hardware. Mike works closely with industry partners to translate emerging AI models into production-ready solutions and to advance the state of practical, high-performance edge AI. He holds BS and MS degrees in Computer Science from Northwestern University and is based in San Francisco.