![]() ![]() At a startup named Inkling I founded Inkling Habitat, re-imagining interactive digital textbooks for higher education and how they are published by adopting ideas from computer science - Inkling Habitat turned into a multi-million dollar business that was adopted by the world’s major educational publishers, including Pearson & Elsevier. Earlier work includes having started Coworking, which grew into an international grassroots movement to establish a new kind of workspace for the self-employed, with more than 15,000 coworking spaces now open globally. ![]() I have a long tradition of untraditional, cross-disciplinary innovation across fields. Elsevier inkling full#I've worn many hats in my career, whether as a tech lead, a product engineer, a startup founder, or a full stack software engineer. Before the SETI Institute I was a Machine Learning Engineer at Dropbox, doing industrial R&D to ship deep learning-powered products to millions of users and across billions of files. I also have a Machine Learning Research Scientist affiliation with the SETI Institute and NASA’s Frontier Development Lab, applying deep learning to space science and space exploration. I have a decade and a half experience as a software engineer across such companies as Google & Dropbox, startups, and the open source world. The ultimate goal is to enable a Queryable Earth, indexing physical change on Earth and making it searchable for all. Planet images the entirety of the Earth daily to monitor changes and pinpoint trends. ![]() I am currently a Staff Machine Learning Engineer with Planet, applying machine and deep learning to remote sensing imagery of Earth's surface. I am a machine learning software engineer, with a focus on deep learning. My research interests are machines that see, hear, and plan in order to augment people & society’s capabilities. ![]()
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