Griffin Lacey is a manager and solutions architect at NVIDIA with a decade of experience specializing in deep learning and high-performance computing. Rising through technical roles at NVIDIA from Solutions Architect to Manager, he blends hands-on ML research background— including a stint at Google and research/teaching roles at the University of Guelph—with practical systems engineering. He holds MASc and BEng degrees in Engineering Systems and Computing from the University of Guelph and routinely bridges academic rigor with production deployments for GPU-accelerated workloads. Based in Guelph, Ontario, Griffin is known for translating cutting-edge research into scalable solutions for enterprise and research customers, often focusing on performance optimizations that aren’t obvious from model accuracy alone.
10 years of coding experience
9 years of employment as a software developer
St. Andrew's College
Masters of Applied Science (MASc), Engineering Systems and Computing, Masters of Applied Science (MASc), Engineering Systems and Computing at University of Guelph
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Griffin Lacey - Manager, Solutions Architect at NVIDIA