Matthew Tamayo is a software engineer with 12 years of experience building production-grade systems at the intersection of ML, security, and infrastructure, now working at Meta after leading AI strategy at Fastly. He has founded startups that applied advanced cryptography and neural matching to real-world problems—creating searchable-encrypted messaging and privacy-preserving record linkage for public-sector decision making. At Fastly he drove company-wide AI initiatives, worked on hardware-accelerated inference at the edge, and contributed to WASI-NN and the WASI Machine Learning Working Group to expand WebAssembly ML capabilities. His academic background includes an MS in Applied Mathematics and ongoing PhD work in Mathematics and Scientific Machine Learning at ETH Zürich, reflecting a strong theoretical foundation paired with practical systems delivery. Comfortable briefing C-suite stakeholders and rolling up his sleeves in C++, WASM, and distributed systems, he blends product-minded leadership with deep technical craftsmanship. Colleagues will notice his knack for translating cutting-edge research into deployable, auditable systems that prioritize privacy and operational resilience.
12 years of coding experience
18 years of employment as a software developer
Master of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at University of Washington
BS Mathematics and Computer Science, BS Mathematics and Computer Science at Rensselaer Polytechnic Institute
Doctor of Philosophy - PhD Mathematics and Scientific Machine Learning, Doctor of Philosophy - PhD Mathematics and Scientific Machine Learning at ETH Zürich
Upgrade internal data models, tune operations, and perform integrity checks.
Contributions:34 reviews, 82 PRs, 334 pushes in 5 years 2 months
internalintegritydata-modelstunechecks
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