Joel Afriyie is a Senior Machine Learning Engineer with a decade of hands-on experience building production ML systems and researching fair, transparent AI. Based in Austin, he blends industry roles at Arm and Acrisure with academic research from UT Austin on human-AI interaction, algorithmic fairness, and bias in resource allocation. His background spans end-to-end ML engineering—CI/CD, scalable pipelines, NLP, and novel model architectures—and practical cost-saving cloud migrations and optimizations. Joel is particularly focused on Fair ML, Music AI, and AI ethics, and his work uniquely combines rigorous research (including published studies) with applied solutions that reduce operational burden. He enjoys building things that matter: from automating hardware verification test generation to on-the-fly recommendation engines and forecasting pipelines.
10 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at The University of Texas at Austin
Study Abroad Student in Japan, Study Abroad Student in Japan at Kwansei Gakuin University
Bachelor’s Degree, Bachelor's of Science in Computer Science, Data Analytics, and Mathematics, Bachelor’s Degree, Bachelor's of Science in Computer Science, Data Analytics, and Mathematics at Drake University
Contributions:9 pushes, 1 branch in 2 years 10 months
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Joel Afriyie - Senior Machine Learning Engineer at Arm