Allan Enemark

UI UX Agentic Systems Developer at NVIDIA

California, United States
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Summary

👤
Senior
🎓
Top School
Allan Enemark is a UI/UX-focused Agentic Systems Developer at NVIDIA with nine years of experience blending product management, data visualization, and industrial design to build agentic AI SDKs and integrated user experiences for projects like Nemo Agent Toolkit and AIQ. He previously led visualization and cybersecurity product efforts for Morpheus and RAPIDS, shipping GPU-accelerated visual analytics prototypes and partner proofs-of-concept. Trained as an industrial designer with an MBA in sustainable management, he brings a systems-minded approach that marries human-centered interaction design with pragmatic engineering and security considerations. Based in California, Allan is a sustainability advocate who balances technical leadership with hands-on tinkering—sometimes on an e30 project car—and candidly navigates a love/hate relationship with technology and AI.
code9 years of coding experience
job4 years of employment as a software developer
bookBS Industrial Design, Industrial and Product Design, BS Industrial Design, Industrial and Product Design at San José State University
bookMBA sustainable management, Business, Sustainablity, Leadership, Entrepreneurship, MBA sustainable management, Business, Sustainablity, Leadership, Entrepreneurship at Presidio Graduate School
bookGeneral Education, General Education at West Valley College
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Github Skills (87)

crossfilter10
rapids10
gpu10
cpp10
gpgpu10
data-visualizations10
nvidia10
visualization10
datashader10
pandas9
data-visualization9
render9
graph-algorithms9
python9
deep-learning9

Programming languages (10)

TypeScriptCSSC++RustAstroJavaScriptHTMLJupyter Notebook

Github contributions (5)

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exactlyallan/defconx

Jun 2018 - Apr 2026

Contributions:3 pushes, 2 branches in 7 years 11 months
exactlyallan/node

Dec 2021 - Apr 2026

GPU-accelerated data science and visualization in node
Contributions:4 PRs, 6 pushes, 4 branches in 4 years 4 months
sciencedata-sciencegpuacceleratedmachine-learning
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