Sanghyun Kim is a Principal Software Engineer based in Seoul with 8 years of experience specializing in autonomous driving perception, 3D object detection, computer vision, and deep learning. He holds a PhD in Electrical and Electronics Engineering from Seoul National University and combines academic rigor with hands-on engineering from roles at ThorDrive and Samsung Electro-Mechanics. His open-source contributions include backend and DevOps work for CERN’s widely-used CMS software (cmssw) and generator tooling, where he improved validation workflows, simulation configs, and gridpack build processes—skills that translate to robust ML model validation and production pipelines. Comfortable operating at the intersection of research and production, he brings a track record of adapting complex scientific software to real-world computing environments. Notably, his postdoc experience at CERN signals deep familiarity with large-scale data processing and collaborative engineering in high-stakes research contexts.
8 years of coding experience
박사, Electrical and Electronics Engineering, 박사, Electrical and Electronics Engineering at 서울대학교 (Seoul National University)
학사, Electrical and Electronics Engineering, 학사, Electrical and Electronics Engineering at 홍익대학교
Contributions:3 reviews, 46 commits, 15 PRs in 2 years
Contributions summary:Sanghyun primarily focused on improving the build and deployment processes for the project. They modified scripts to detect the operating system version and integrate with the CMS connect condor system. Several commits address issues related to missing files and dependencies, specifically related to scale/PDF dependencies, and the handling of python bindings for HTCondor. The user's contributions streamlined gridpack generation by adapting the scripts to the computing environment.
Contributions:3 reviews, 40 commits, 18 PRs in 4 years
Contributions summary:Sanghyun's commits primarily focused on modifying and enhancing the validation process within the CMS Offline Software repository. Their work involved fixing merge conflicts and removing or adding process-dependent plots, indicating a focus on refining the data analysis and validation workflows. Furthermore, the user integrated PS weights for aMCatNLO TTbar Relval and increased the number of jet bins, demonstrating contributions to the simulation and analysis aspects of the project. Several commits targeted the protection of LHE validation by incorporating conditional checks.
cmscernweb-appc-plus-plusbackbonejs
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