Hakjin Lee
Software Engineer at Inpock
Gyeonggi, South Korea
Summary
🤩
Rockstar🎓
Top SchoolHakjin Lee is a software engineer with nine years of experience specializing in productionizing machine learning systems, test automation, and deployment tooling. Currently at Inpock in Gyeonggi, he has contributed to prominent open-source projects like OpenMMLab's mmcv and mmrotate—improving test coverage and integrating models with TorchServe—and helped harden PyTorch Serve's build and deployment scripts. He combines hands-on QA and MLOps skills with DevOps sensibilities, routinely bridging model development and reliable production serving. An analytical learner—aptly summarized on GitHub as "studying what learning is"—he brings a methodical approach rooted in rigorous testing and reproducible deployments.
9 years of coding experience
석사, 목회학과, 석사, 목회학과 at 총신대학교 신학대학원
Github Skills (17)
pytorch10
docker10
pytest10
python10
testing10
dockers10
cicd10
build-automation10
sd-mmc10
detectors9
openmmlab9
detector9
computer-vision9
kubernetes-pods8
machine-learning8
Programming languages (7)
Github contributions (5)
open-mmlab/mmrotate
Apr 2022 - Dec 2022
OpenMMLab Rotated Object Detection Toolbox and Benchmark
Role in this project:
MLOps Engineer
MLOps EngineerContributions:4 reviews, 10 commits, 14 PRs in 8 months
Contributions summary:Hakjin primarily focused on integrating and deploying the MMRotate model using TorchServe. Their contributions included developing a custom handler for TorchServe, creating a script to convert MMRotate models to the TorchServe format, and modifying the Docker entrypoint for deployment. The user's work also involved addressing bug fixes and enhancements related to datasets and testing procedures. This indicates a strong emphasis on productionizing and optimizing the model for real-world applications.
pytorchdetectiontoolboxefficientnetobject-detection
open-mmlab/mmcv
Jan 2022 - Feb 2022
OpenMMLab Computer Vision Foundation
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:4 reviews, 4 commits, 8 PRs in 22 days
Contributions summary:Hakjin primarily focused on enhancing the test suite for the `mmcv` library. Their contributions include adding, modifying, and refactoring test cases for various components, such as hooks, nms_rotated, and multi-scale deformable attention. They addressed issues, such as type mismatches and interface refactoring, within the testing framework. Their work ensured the correctness and robustness of the library's features.
visiondeep-learningcomputer-visionfoundationopenmmlab
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