Benjamin Pachev
Research Fellow - HIgh Performance Computing & GPU Acceleration
Orem, Utah, United States
Summary
👤
Senior🎓
Top SchoolBenjamin Pachev is a research fellow specializing in high-performance computing and GPU acceleration with a decade of experience bridging academic research and industry data roles. He completed a PhD in Computational Science at UT Austin after earning MS and BS degrees in Mathematics and Applied Mathematics from BYU, grounding his work in rigorous numerical methods. His background includes applied data engineering and data science roles where he translated large-scale models into production-ready pipelines, and recent work focuses on optimizing GPU workflows for scientific computing. Based in Orem, Utah, he brings both theoretical depth and practical engineering discipline to accelerate compute-bound applications. An understated strength is his ability to move between low-level performance tuning and higher-level research questions, enabling measurable speedups in real-world projects.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Science, Doctor of Philosophy - PhD, Computational Science at The University of Texas at AustinMaster of Science - MS, Mathematics, Master of Science - MS, Mathematics at Brigham Young University
Stackoverflow
2,182reputation
102kreached
44answers
0questions
numpy
top-5%
Github Skills (66)
fenics10
parallel-computing10
gradient10
partial-differential-equations10
portable9
numpy9
scalable9
dataflow9
gbm9
xgboost9
code-generation9
machine-learning9
boosting9
java9
distributed-systems9
Programming languages (7)
Github contributions (5)
bpachev/CS_236
Jan 2016 - Mar 2016
Contributions:45 commits, 39 pushes, 1 branch in 2 months
UT-CHG/ch-sim
Sep 2021 - Feb 2023
Contributions:44 commits, 42 pushes, 1 branch in 1 year 5 months
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