Rylan Conway is a Staff Research Scientist in Seattle with 12 years of experience turning cutting-edge ML research into web-scale production systems. With a Ph.D. in Physics from UC Davis and a background analyzing petabyte-scale LHC datasets, he brings rigorous statistical and high-performance computing skills to applied deep learning and NLP problems. He progressed from building Alexa intelligence and conversational AI at Amazon to leading research science efforts at Meta, where he now focuses on deploying novel models at scale. Rylan has founded and led engineering teams and products—from mobile apps and analytics platforms to scalable AWS-backed APIs—demonstrating both technical breadth and product instincts. Known for bridging academic rigor and production constraints, he excels at shipping reliable, data-driven systems that operate on massive real-world traffic.
12 years of coding experience
14 years of employment as a software developer
Ph.D. Physics, Ph.D. Physics at University of California, Davis
Bachelor of Science (B.S.) Physics and Astronomy, Bachelor of Science (B.S.) Physics and Astronomy at University of Delaware
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