Graham Smith is a founder-turned-principal technologist with 11 years of experience taking IoT and ML ideas from grant-funded research to global, revenue-generating products. As CTO and co-founder of Babylon Micro-Farms he led $2M+ in NSF/DoD research, shipped patented hardware and multi-stack software across 40 states and 5 countries, and grew the company through Series A and 423% revenue expansion. He combines hands-on engineering across firmware, cloud, mobile, and computer vision with cross-functional product leadership in manufacturing and horticulture. Now advising early-stage AI/ML startups, he brings rare experience detecting real-world signals (plant health and medical foot ulceration) earlier than humans and translating those predictive models into scalable field systems. Based in the San Francisco Bay Area, he’s currently writing a book and exploring 0-to-1 opportunities that pair rigorous ML research with tangible societal impact.
11 years of coding experience
9 years of employment as a software developer
Biomedical Engineering, Biomedical Engineering at University of Virginia
Implementation of Wilson-Cowan equations in Simulation73 framework (supporting Ph.D thesis project)
Contributions:8 PRs, 153 pushes, 37 branches in 3 years
equationswilsonddesbmlsimulation
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