Trent Bradberry is an AI Lab Lead with eight years of hands-on experience turning ambiguous, complex problems into prototype federal AI use cases and production-ready data science solutions. He blends deep technical breadth—from C/C++ real-time systems and MATLAB signal processing to Python ML and NLP—with leadership in project strategy, team mentoring, and business development. At Elder Research he led GovCiv innovation efforts around generative AI and LLMs, authored technical content, and ran client workshops, demonstrating an ability to translate research into practical impact for government customers. His background includes brain-computer interface research and autonomous systems work, giving him uncommon experience at the intersection of signal processing, applied ML, and human-centered AI. Based in Virginia, he excels at incubating risky, high-value AI prototypes that communicate technical potential to nontechnical stakeholders.
8 years of coding experience
16 years of employment as a software developer
BS Computer Engineering, BS Computer Engineering at Clemson University
MSECE Electrical and Computer Engineering, MSECE Electrical and Computer Engineering at Georgia Institute of Technology
PhD Bioengineering, PhD Bioengineering at University of Maryland
Contributions:9 commits, 9 pushes, 1 branch in 25 days
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