Hyeondeok Jang
Venture Capitalist (팀장) at DSC인베스트먼트
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolHyeondeok Jang is a venture capitalist and former 6G AI engineer with a decade of experience bridging deep technical research and early-stage investment in Seoul. He holds dual bachelor's degrees in Electronics and Business and completed an MS in Electrical Engineering, currently pursuing a PhD in Computer Science, bringing rigorous academic grounding to deal sourcing and technical due diligence. At Samsung Research he led industry-academic projects, authored and co-authored multiple IEEE papers and patents on wireless systems and PAPR reduction, demonstrating hands-on expertise in next‑generation networks. As a VC team lead at Albatross and now DSC, he combines product-level engineering insight with post-investment management to help startups scale. His open-source CI/CD contributions to the QMCPACK project reveal a pragmatic focus on reproducible testing and build automation for high-performance scientific software. Comfortable switching between lab benches, codebases, and boardroom decks, he uniquely evaluates investments through both technical merit and commercial viability.
10 years of coding experience
3 years of employment as a software developer
석사, 전기전자공학, 석사, 전기전자공학 at Yonsei University
Github Skills (14)
c-language10
cmake10
cprogramming-language10
cicd10
test-automation10
python9
high-performance8
cluster-computing8
accelerated-computing8
scientific-computing8
parallel-computing8
cuda7
mpi7
roc6
Programming languages (2)
Github contributions (5)
QMCPACK/qmcpack
May 2016 - Nov 2022
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:
Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:3 reviews, 135 commits, 81 PRs in 6 years 7 months
Contributions summary:Hyeondeok primarily focused on modifying and enhancing the project's build and testing infrastructure. Their contributions include adding a flag for a Multi-Precision Computation (MPC) test, removing statistically failing tests from the nightly dashboard, and integrating a deterministic test for the Jastrow optimizer. Additionally, the user made adjustments and updates to the nightly test scripts for various system configurations, demonstrating expertise in CI/CD and test automation.
quantum-monte-carlompiatomsgpu-supportc-plus-plus
Hyeondeok-Shin/qmcpack
Feb 2019 - Feb 2019
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.
Contributions:5 pushes in 11 days
ab-initiomoleculesquantum-monte-carloquantum-computingelectronic-structure
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