Justin Privitera

Software Engineer at Lawrence Livermore National Laboratory

California, United States
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Summary

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Justin Privitera is a software engineer and Cal Poly SLO double major in Computer Science and Mathematics with seven years of hands-on experience in scientific visualization and rendering. He has contributed to high-performance visualization tools like VisIt and enhanced Ascent at Lawrence Livermore National Laboratory, adding direct rendering for polyhedral meshes and automations to preserve field data during mesh transformations. His background spans industry internships—from building data-integration and command-line tooling at Amgen to teaching programming and game development to children—demonstrating both technical depth and strong communication skills. Based in California, he blends back-end development, visualization-focused graphics work, and practical tooling for scientific workflows. Notably, his open-source contributions include refactoring UI components and adding Conduit output support for mesh visualization, reflecting attention to both usability and data interoperability. He is motivated by rendering challenges and building developer-friendly features that bridge complex simulations to actionable visual results.
code8 years of coding experience
bookCalifornia Polytechnic State University, San Luis Obispo
bookCollege of San Mateo
languagesEnglish
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Github Skills (10)

scientific-visualization10
visualization10
data-viz10
visualizations10
cprogramming-language9
c-language9
python8
qt8
scientific-computing7
data-analysis7

Programming languages (6)

JavaC++CJavaScriptShaderLabPython

Github contributions (5)

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visit-dav/visit

Feb 2023 - Mar 2023

VisIt - Visualization and Data Analysis for Mesh-based Scientific Data
Role in this project:
userBack-end Developer
Contributions:645 reviews, 18 commits, 675 PRs in 1 month
Contributions summary:Justin primarily worked on the `QvisColorTableWindow` component, focusing on enhancing and refactoring its functionality. They implemented changes related to color table tagging, including adding and removing UI elements. Their contributions also involved updating tag-related logic and incorporating Conduit output features. The user appears to have been involved in improving the X Ray Image Query documentation.
data-analysisvisualizationhpcscientific-visualizationscientific-computing
Contributions:6 pushes, 1 branch in 4 years 9 months
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