Matt Nappo is a software engineer with nine years of experience focused on ML infrastructure and cloud-native runtimes, currently a Member of Technical Staff at Modal in New York. He moved up from a summer internship at Modal working on the container runtime to a full-time role, demonstrating rapid prototyping and production-readiness in distributed systems. His background includes RDMA-based FaaS work through Google Summer of Code and hands-on experience with LangChain and vector databases at FiscalNote, showing a blend of low-level systems and modern ML tooling. Matt also has a strong teaching pedigree—serving as a university TA and senior instructor for data structures and algorithms—which complements his product work with clear technical communication. Holding a BS in Computer Science and Mathematics from the University of Rochester, he combines theoretical rigor with practical engineering to build scalable ML infrastructure.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Mathematics, Bachelor of Science - BS, Computer Science, Mathematics at University of Rochester
Contributions:3 releases, 70 commits, 6 PRs in 7 months
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