Shane Caldwell is a Principal Research Engineer with nine years of experience building ML-driven security and computer vision systems, currently leading research at Dreadnode. He specializes in reinforcement learning, synthetic environments, and generating synthetic data to train and evaluate models for offensive security and automated hacking use cases. Shane has a strong MLOps background—designing CI/CD, ClearML workflows, and APIs to productionize models across companies from startups to acquisitions. His work spans end-to-end stacks from on-device deep learning to terabytes-scale video pipelines and network-attack classifiers, reflecting both hands-on engineering and team leadership. Based in Missouri, he blends academic training in data science with practical security tooling, including custom pentesting distributions and automation frameworks that hint at a bias toward reproducible, adversarial ML research.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at New College of Florida
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Shane Caldwell - Principal Research Engineer at Dreadnode