Ryan Avery is a Senior Machine Learning Engineer based in Seattle with nine years of applied ML and geospatial experience, currently building production ML systems at Wherobots. He has led interdisciplinary teams and deployed real-time detectors and PyTorch models for conservation and ocean monitoring—work that includes integrating Microsoft’s MegaDetector into live camera-trap pipelines and developing ocean-feature detection for Skytruth Cerulean. Earlier research at UCSB and Clark Labs focused on mapping smallholder agriculture and improving cloud/shadow masking for high-resolution satellite imagery, bridging remote sensing science with scalable cloud ML pipelines. Comfortable in flat leadership structures, he pairs technical mentorship with public-facing communication, having authored technical blogs and presented results to stakeholders from nonprofits to government partners. A practical tinkerer as well as researcher, he combines production-first engineering with domain expertise in environmental and conservation applications.
9 years of coding experience
7 years of employment as a software developer
BS in Environmental Sciences: Biological Sciences Concentration, GIS and Environmental Sciences, BS in Environmental Sciences: Biological Sciences Concentration, GIS and Environmental Sciences at UC Berkeley, Rausser College of Natural Resources
Bachelor's Degree, Environmental Sciences, Junior, Bachelor's Degree, Environmental Sciences, Junior at University of California, Berkeley
Master of Arts - MA, Geography, Master of Arts - MA, Geography at UC Santa Barbara
Contributions:10 reviews, 22 PRs, 45 pushes in 1 year 5 months
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Ryan Avery - Senior Machine Learning Engineer at Wherobots