Matthew Dangerfield is a co-founder and applied mathematician who turns quantitative thinking into production-ready AI and web products, with a decade of engineering experience spanning full-stack development and machine learning engineering. He has launched and scaled consumer-facing systems (PropaneChat.com) handling hundreds of thousands of messages and built retrieval-augmented generation pipelines with self-hosted vector stores. Comfortable across Vue/React/Svelte front-ends, Node.js backends, and cloud infrastructure, he has optimized database performance on large datasets and improved model quality through applied ML work. Currently studying Applied and Computational Mathematics while co-founding PeakSend AI, he’s exploring RL/finetuning for LLM agent systems and pragmatic cost-saving architectures. Colleagues describe him as a builder who blends rigorous math with hands-on product delivery and a knack for automating support and developer workflows.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Brigham Young University
Contributions:17 pushes, 2 branches in 6 years 6 months
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