Raine Yeh
Software Engineer at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRaine Yeh is a software engineer at Google with a Ph.D. in Computer Science from Purdue and a decade of experience spanning scientific visualization, numerical methods, and high-performance computing. His doctoral work produced a multivariate B-spline reconstruction method that was two orders of magnitude faster with lower RMS error and was adopted in a national-lab project, reflecting a rare blend of theoretical rigor and practical performance. Raine has deep C++ and GPU/parallel programming expertise (CUDA, MPI, OpenMP), plus experience in visualization stacks like VTK/ParaView and graphics programming with OpenGL. He has contributed to HPC toolkits at Lawrence Livermore and Argonne, designed clean, high-performance APIs for multimaterial data, and taught large undergraduate and graduate courses, honing communication and teaching skills. Based in New York, he brings both research pedigree and production-grade engineering to complex data- and compute-intensive problems.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue UniversityUniversity of Illinois Urbana-Champaign
English, Chinese, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
fortran10
infrastructure10
hpc-applications10
hpc10
cpp10
parallel-computing10
Programming languages (1)
Github contributions (3)
raineyeh/axom
Jun 2021 - Jul 2021
CS infrastructure components for HPC applications
Contributions:2 PRs, 8 pushes, 3 branches in 1 month
hpcinfrastructurehpc-applications
raineyeh/Marching-Cube-for-Implicit-Surfaces
Feb 2016 - Apr 2016
Contributions:50 commits, 9 PRs, 55 pushes in 2 months
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