Ryan King is a PhD computer scientist and Engineering Graduate Merit Fellow at Texas A&M with 11 years of professional experience blending research, teaching, and operational leadership. His doctoral work centers on multimodal machine learning, and he concurrently designs and teaches graduate-level machine learning courses covering models from logistic regression to CNNs and RNNs. A former Army officer, he brings proven systems thinking and logistics engineering—having built asset-tracking and parts-ordering tools that managed tens of millions in equipment—which informs his pragmatic approach to research-to-production problems. Ryan combines rigorous academic training with hands-on software tooling and a track record of building reproducible solutions in constrained environments, making him effective at turning complex multimodal ML research into practical applications.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Texas A&M University
Bachelor of Science - BS, Civil Engineering, Bachelor of Science - BS, Civil Engineering at Virginia Military Institute
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