Derek Allman

Senior Machine Learning Engineer (Senior Professional Staff I) at Johns Hopkins Applied Physics Laboratory

Washington, District of Columbia, United States
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Summary

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Senior
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Top School
Derek Allman is a Senior Machine Learning Engineer with eight years of experience applying computer vision and MLOps to medical and defense problems, now leading ML efforts at Johns Hopkins Applied Physics Laboratory. He has designed and deployed real-time, resource-efficient object detection systems and built MLOps toolchains that moved research prototypes into operational programs. His academic work at Johns Hopkins Pulse Lab produced first-author publications and conference presentations on photoacoustic imaging, including transfer learning from simulated to in vivo data and coordination of large-animal surgical experiments. Derek combines hands-on firmware and signal-processing roots from early IMU and RF projects with deep learning expertise, enabling end-to-end solutions from embedded platforms to cloud-backed pipelines. He has supervised multidisciplinary teams of developers, scientists, and clinicians, and his research is documented on Google Scholar, reflecting a rare blend of experimental rigor and production-focused engineering.
code8 years of coding experience
job9 years of employment as a software developer
bookJohns Hopkins University
bookBS Electrical Engineering, BS Electrical Engineering at The Ohio State University
bookWalsh Jesuit High School
languagesEnglish, Spanish

Github contributions (5)

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Contributions:7 pushes, 1 branch in 9 days
Contributions:2 pushes, 1 branch in 1 day
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Derek Allman - Senior Machine Learning Engineer (Senior Professional Staff I) at Johns Hopkins Applied Physics Laboratory