Dan Labruna is a product-focused AI leader with a decade of experience building and shipping infrastructure and real-time ML systems, currently driving NVIDIA AI product work after leading Azure Machine Learning inference efforts at Microsoft. He blends hands-on engineering (co-author of the AzureML Inference Server with 24M+ downloads) with product and go-to-market instincts honed through stints in venture investing and early-stage product roles. A University of Michigan CSE & Math alumnus and Harvard MBA graduate, Dan has a track record of turning research-grade systems into licensed products—his undergraduate work powering Mcity’s Octane test platform is used by Fortune 500s. He’s passionate about creating organizations and technology that scale societal impact, and brings a rare mix of build-and-build-again practical engineering, program scaling, and product strategy.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer Science & Engineering, Bachelor’s Degree Computer Science & Engineering at University of Michigan
University of California, San Diego
Master of Business Administration - MBA, Master of Business Administration - MBA at Harvard Business School
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