Summary
Bradley Grimm is a Principal Data Scientist with 11 years of experience designing, training, and deploying multimodal machine-learning systems across audio, video, text, and clinical signals. He has led end-to-end research and engineering efforts at Videra Health, HireVue, and eVisit, translating clinical and hiring domain expertise into production models for depression, suicidal language, tardive dyskinesia, diabetes risk, and addiction recovery. Bradley combines hands-on model development (NLP, vision, ASR) with product-minded engineering—managing data pipelines, AWS deployments, monitoring, and cross-team processes that bridge research and production. He has contributed to academic publications, helped secure NIH funding, and filed a provisional patent, reflecting a rare mix of rigorous research and practical impact. Early career work in mobile and embedded video systems informs his attention to device compatibility and real-world constraints in deployed ML. Based in South Jordan, Utah, he pairs an MS in Computing (Image Analysis) with a track record of turning complex multimodal signals into actionable clinical insights.
11 years of coding experience
16 years of employment as a software developer
The University of Utah
AS Computer Science, AS Computer Science at Salt Lake Community College
English, Spanish