Daniel Fudge is a senior technology and data leader who has transitioned from two decades in aerospace engineering to leading AI, data engineering, and optimization teams at scale. Now Senior Vice President & General Partner at Very, he builds edge-deployable ML products and engineering environments that drive business value while fostering strong team cultures. His background spans hands-on systems engineering for space robotics and flight simulators to automating computational analysis for aircraft engines, giving him a rare combination of physical-systems rigor and modern ML/analytics fluency. With an MBA in Financial Engineering and focused AI coursework from MIT and Udacity, he bridges strategy, product and technical execution to unlock ML-driven outcomes. Notably, he applies full-stack thinking to connected devices, turning embedded data into intelligent automation.
8 years of coding experience
23 years of employment as a software developer
B.Eng. Electrical Engineering, B.Eng. Electrical Engineering at Memorial University, Newfoundland and Labrador
Nanodegree Deep Learning, Nanodegree Deep Learning at Udacity
SSP05, SSP05 at International Space University
M.A.Sc. Computational Aerodynamics, M.A.Sc. Computational Aerodynamics at University of Toronto
Concurrent Master of Business Administration and Financial Engineering - MBA/FNEN, Concurrent Master of Business Administration and Financial Engineering - MBA/FNEN at Schulich School of Business - York University
Artificial Intelligence: Implications for Business Strategy Artificial Intelligence Machine Learning Natural Language Processing Business, Artificial Intelligence: Implications for Business Strategy Artificial Intelligence Machine Learning Natural Language Processing Business at Massachusetts Institute of Technology - Sloan School of Management
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Daniel Fudge - Senior Vice President & General Partner at Very