Matthew Daiter is an embedded systems and robotics specialist who blends 11 years of industry and research experience into fast, modular product delivery as a contracting advisor and consultant. He builds bulletproof embedded software and on-edge AI systems—having created one of Mexico City's first agentic GraphRAG tools that generated over half a million resumes and robotic manipulation stacks running state-of-the-art world models with near-zero inference cost. His background spans camera and photogrammetry R&D, GPU-accelerated computer vision (CUDA descriptors and distributed SfM), and low-latency graphics/IPC optimizations from a Senior Software Engineer role at Magic Leap. A linguistic and cognitive science enthusiast, he brings interdisciplinary insight into signal analysis, human interaction, and UX-driven technical tradeoffs. Not obvious from titles: he also produced documentary work exposing migrant crises and has hands-on experience sourcing custom electronics and reverse-engineering compilers to cut runtime and launch latency. Based in the U.S., Matthew thrives at the intersection of research, product, and fieldwork—compressing timelines and budgets for technically ambitious teams.
11 years of coding experience
3 years of employment as a software developer
Master's degree Computer Software Engineering; Machine Learning, Master's degree Computer Software Engineering; Machine Learning at University of Oxford
High School, High School at Phillips Exeter Academy
Master of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at University of Colorado Boulder
Contributions:81 commits, 10 PRs, 71 pushes in 9 months
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Matthew Daiter - Contracting Advising Consulting at Self-employed