Kevin Yin is a Machine Learning Engineer in the Los Angeles area with a decade of experience blending rigorous mathematics and practical AI research. He holds a PhD in Mathematics from NYU and has applied his theoretical background to problems like neural network compression for time series at Caltech and algorithmic music composition as a research scientist. Currently at Anlatan, he focuses on core AI building blocks — architecture, optimization, and target — with a track record of translating deep theory into applied models. His work reflects an uncommon crossover between algebraic theory and creative domains, yielding insights in music cognition alongside engineering advances.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at New York University
Contributions:9 commits, 1 PR, 8 pushes in 3 years 3 months
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