Nico Galoppo is a Performance Architect with 12+ years optimizing end-to-end computer vision, deep learning, and AI stacks to squeeze maximum efficiency from heterogeneous compute at the edge. A seasoned principal engineer formerly leading AI performance and OpenVINO enablement at Intel and now at Apple, he helps customers and partners deploy cost-effective AI across industrial, robotics, automotive and retail settings. He pairs low-level GPU and media-acceleration expertise with system-level software architecture, often balancing workload across CPU/GPU pipelines for real-world edge constraints. Trained as a PhD computer scientist and with a background in graphics, simulation, and immersive systems, he brings research-grade rigor to production performance engineering. Notably, he has driven cross-organizational API and silicon-influence efforts that turned prototype acceleration features into commercial implementations. Based in Portland, he combines deep hardware-aware optimization skills with hands-on customer enabling to make AI run better where it matters.
12 years of coding experience
21 years of employment as a software developer
MSc Electrical Engineering, MSc Electrical Engineering at KU Leuven
ENSIEG / INPG
Post-Graduate Computer Science, Post-Graduate Computer Science at ETH Zurich
PhD. Computer Science, PhD. Computer Science at University of North Carolina at Chapel Hill
Shell scripts for customized macOS machine setup and configuration.
Contributions:6 pushes in 3 years 8 months
customizedshell-scriptsdotfilesmacosshell
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