Abdulgani Annaberdiyev

Risk Quant at EY

Charlotte, North Carolina, United States
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Summary

👤
Senior
🎓
Top School
Abdulgani Annaberdiyev is a quantitative researcher and risk quant with 8 years of experience who blends a PhD-level foundation in computational physics with practical engineering skills to solve complex financial and scientific problems. He transitioned from postdoctoral work at Oak Ridge National Laboratory and a PhD program focusing on quantum Monte Carlo methods into production-grade risk engineering at EY, bringing strong modeling, optimization, and coding chops. His open-source contributions to the QMCPACK project reveal hands-on backend and DevOps experience—improving build systems, GPU support, and numerical correctness in a high-performance scientific codebase. Based in Charlotte, he pairs clear technical communication (papers and teaching) with a knack for turning algorithmic insight into robust, reproducible tooling.
code8 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at North Carolina State University
bookBachelor’s Degree, Physics, Bachelor’s Degree, Physics at Fatih University
bookInternship, Internship at Stony Brook University
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Github Skills (15)

cluster-computing10
c-language10
cmake10
hpc10
parallel-computing10
cprogramming-language10
scientific-computing10
build-automation10
mpi9
ec8
python8
oneapi7
cuda6
gpu6
roc5

Programming languages (4)

C++PHPPythonFortran

Github contributions (5)

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QMCPACK/qmcpack

Jun 2019 - Jan 2023

Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:12 reviews, 16 commits, 22 PRs in 3 years 7 months
Contributions summary:Abdulgani primarily focused on modifying and improving the build and testing infrastructure of the QMCPACK project, as well as addressing build issues. They added necessary include statements, resolved conflicts, and updated installation instructions for the project, including incorporating new machines to the build configurations, such as Perlmutter. The user also contributed to the code by correcting print statements, adding UKS/UHF flags, and correcting Fermi level issues. These commits demonstrate a combined focus on both backend code adjustments and the tooling/build environment.
quantum-monte-carlompiatomsgpu-supportc-plus-plus
gmwang18/heavy_element_ecps

Apr 2020 - Dec 2023

Contributions:99 pushes in 3 years 9 months
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Abdulgani Annaberdiyev - Risk Quant at EY