Giancarlo Ricci is a software engineer with a decade of experience focused on AI/ML systems, currently contributing to GenAI evaluation on Uber’s Michelangelo platform. A Stanford BS/MS in Computer Science, he blends academic research—where he improved protein mutational prediction accuracy by ensembling deep models—with industry proof-of-concepts like a novel GenAI video-editing feature at Adobe. Based in Palo Alto, he combines hands-on engineering with a research mindset to move models from benchmarks into production-quality evaluation pipelines. Notably, his background spans both biological ML and consumer-facing GenAI tooling, giving him a rare cross-domain perspective on model robustness and product integration.
10 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Stanford University
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