Martin Wells is a seasoned technology executive and entrepreneur with 14 years of experience building high-performance, scalable products across games, media, and AI. Currently CTO at Datapod, he leads engineering for modular prefabricated data centres while concurrently advising clients as a fractional CTO, where he has delivered RAG-powered knowledge systems and computer vision pipelines with production-grade accuracy and cost efficiencies. He has a track record of taking greenfield products to market—most notably architecting a streaming platform serving millions and leading game infrastructure that supported chart-topping hits—and has guided startups through acquisition and scale. Comfortable at the intersection of product and infrastructure, he drives cloud-native architectures, AI-assisted development workflows, and operational reliability at scale. Based in San Francisco, he blends entrepreneurial instincts with hands-on engineering leadership and a penchant for optimizing inference costs and retrieval accuracy.
14 years of coding experience
12 years of employment as a software developer
Bachelor of Science (Equiv.), Business Administration, Management and Operations, Bachelor of Science (Equiv.), Business Administration, Management and Operations at University at Buffalo School of Management, The State University of New York
Associate Diploma, Computer Science, Associate Diploma, Computer Science at Control Data Institute, Sydney
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