Matthew Goldey is a Director of Data Science and AI with a Berkeley PhD and over a decade of experience translating advanced research into production ML systems for regulated industries. He has led teams at Nota, Truleo, and Green Key to deploy speech and NLP solutions that cut transcription and diarization errors by up to 40%–33% and created inference pipelines that reduced competitor costs by orders of magnitude. His work spans model engineering, LLM prompt design, and on-premise fine-tuning for compliance, directly enabling multi-million-dollar contracts and operational products used by police and international banks. A published researcher and named contributor on patents, he combines deep computational chemistry roots with practical leadership—once securing 4M compute hours to drive cross-institutional science. Based in Zionsville, Indiana, he brings a rare blend of academic rigor and hands-on product delivery in audio and language AI.
12 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Theoretical Chemistry, Doctor of Philosophy (Ph.D.), Theoretical Chemistry at University of California, Berkeley
Nuclear Chemistry, Nuclear Chemistry at San José State University
Noblesville High School
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at Butler University
Contributions:19 pushes, 1 branch in 7 years 2 months
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