Everett Lacey

Product Architect NVIDIA DGX

Palo Alto, California, United States
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Summary

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Rockstar
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Everett Lacey is a Product Architect at NVIDIA with nine years of experience building and optimizing AI and healthcare-focused systems, currently shaping the NVIDIA DGX product line. He has moved through roles from DevOps and cloud-focused professional services to senior systems software and technical lead positions, blending hands-on performance engineering with product-level architecture. Based in Palo Alto, he’s contributed to Holoscan, Clara Healthcare AI, and NVIDIA NIM performance work—demonstrating a strong track record in productionizing complex AI stacks. Everett’s background in philosophy and multilingual study adds a rare analytical and cross-cultural perspective to technical decision-making, and his early hands-on leadership roles reflect a practical, end-to-end approach to shipping reliable systems.
code9 years of coding experience
job8 years of employment as a software developer
bookBachelor's Degree Philosophy, Bachelor's Degree Philosophy at Saint Mary's College of California
bookPhilosophy Politics Spanish, Philosophy Politics Spanish at Universidad LCI Veritas
languagespython, sql, javascript, angular, typescript, ruby, terraform
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Github Skills (141)

image-processing10
cordova-plugin10
medical-imaging10
verify10
computer-vision10
active-learning10
nvidia10
dicom10
intelligent10
pytorch10
imaging10
segmentation10
labeling9
pipeline9
sdk9

Programming languages (13)

C#C++GoHTMLJupyter NotebookHCLTypeScriptDockerfile

Github contributions (5)

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Infrastructure as code for GPU accelerated managed Kubernetes clusters.
Contributions:4 releases, 15 reviews, 20 PRs in 1 year 3 months
gpukubernetesnvidiaterraform
Contributions:1 release, 5 commits, 1 push in 1 month
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