Michaelangelo Caporale is a Generative AI Solutions Architect with nine years of experience blending applied mathematics and hands-on ML engineering across startups, research labs, and industry. A Caltech-trained computational mathematician, he has led production-facing AI features—most notably refining a scheduling chatbot at Lumin.ai that now drives over $1M in annual revenue—and developed sparse training and model-compression tooling that reduces models to as little as 3% of their original size. His research background includes training generative models for realistic earthquake simulations and publishing at NeurIPS NewInML and seismology venues, signaling a rare cross-section of domain science and scalable ML. Equally comfortable building end-user automation and developer-facing services, he has delivered "sparsity-as-a-service" and practical speech-to-text tooling while iterating on entrepreneurial side projects in Python and React. Now at Google, he combines product-focused engineering with deep research instincts to make generative systems more efficient, interpretable, and deployable.
9 years of coding experience
7 years of employment as a software developer
Associate of Science (A.S.) Pre-Biology, Associate of Science (A.S.) Pre-Biology at Johnston Community College
Contributions:1 release, 291 pushes, 29 branches in 2 years
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Michaelangelo Caporale - Generative AI Solutions Architect