Summary
Vaughn Dimarco is an AI strategist and advisor with 12 years of hands-on experience building machine learning systems, data platforms, and the organizational infrastructure that enables enterprise AI at scale. He has led investment due diligence for a $35M AI fund, evaluated hundreds of startups across computer vision, NLP and automation, and helped founder-led teams commercialize production ML across manufacturing, retail and digital platforms. A founder of MTLDATA, he built one of Canada’s largest ML communities (10,000+ members) and regularly connected research-calibre talent with industry through events alongside NeurIPS and MILA. Vaughn pairs early-stage venture and M&A experience with operational delivery—moving from founding AI consultancies to heading growth and deal teams at XMachina and advising decentralized AI research at Gatewayz. He holds engineering training from Queen’s and completed MIT Sloan’s AI strategy certificate, combining technical rigor with practical business orientation. Not obvious from titles alone: he blends lab-to-market judgment with a community-first approach that accelerates adoption by developer and enterprise ecosystems.
11 years of coding experience
10 years of employment as a software developer
Artificial Intelligence: Implications for Business Strategy Completed Certificate, Artificial Intelligence: Implications for Business Strategy Completed Certificate at MIT Sloan School of Management
B.Sc (Eng) with Professional Internship Mechanical Engineering, B.Sc (Eng) with Professional Internship Mechanical Engineering at Queen's University
English, French