Aaron Hosford is a Chief Science Officer and autodidact with over 30 years of programming experience and more than a decade and a half focused on Python-driven ML and NLP systems. He has led end-to-end engineering and machine learning efforts at enterprises including Bank of America and Ericsson, and recently heads research and product strategy at Transparent AI. Aaron has architected customer-facing NLP systems serving tens of millions and built predictive pipelines—one forecasted to save millions—demonstrating a rare blend of research depth and pragmatic delivery. A prolific inventor, he’s developed multiple novel learning algorithms (including a maximum average reward RL variant and a rapid-learning neural architecture) and a robust linear encoding for tree-structured genetic programs. He spends his spare time advancing open-source NLP/NLU projects—his latest semantic parser and NLU system NPC are publicly available—and continuously experiments with unconventional ML approaches. Based in Denison, Texas, he combines deep theoretical curiosity with production-grade engineering to turn bold ideas into measurable business impact.
11 years of coding experience
17 years of employment as a software developer
Computer Science/Mathematics, Computer Science/Mathematics at The University of Texas at Dallas
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Aaron Hosford - Chief Science Officer at Transparent AI