Summary
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.
8 years of coding experience
9 years of employment as a software developer
Johns Hopkins University
BS Electrical Engineering, BS Electrical Engineering at The Ohio State University
Walsh Jesuit High School
English, Spanish