Daniel Sammons is a machine learning engineering manager and senior ML engineer with a decade of experience building production-grade computer vision and deep learning systems across startups and government labs. He led ML teams at Doma and now contributes as a Member of Technical Staff at Runway, bringing hands-on expertise in image segmentation, instance-based retrieval, and model-to-production workflows. His background includes impactful research and engineering at NASA and Orbital Insight, where he achieved dramatic speedups in CNN-based segmentation and developed content to democratize ML knowledge for scientists. Comfortable moving between research prototypes and scalable products, he combines a math-driven M.S. in computer science with practical experience shipping real-world vision systems in the Bay Area.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Old Dominion University
Public facing repo that contains example code for the data science blog
Contributions:2 reviews, 5 commits, 17 PRs in 1 year 1 month
pythonsciencemachine-learningdata-science
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Daniel Sammons - Member Of Technical Staff at Runway