Zimin Park
Machine Learning Engineer at CLIWANT
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolZimin Park is a Machine Learning Engineer based in Seoul with 8 years of experience building production-grade ML systems focused on information retrieval, recommendation, and retrieval-augmented generation. He has shipped RecSys and RAG-driven services across commerce, OTT, and financial domains—work that includes maintaining a 2M-subscriber chatbot, CI/CD and continuous training pipelines with Metaflow and Kubernetes, and AWS infra via CDK. At Upstage he drove QA and table-understanding for PDFs, automated insurance coverage determination, and delivered quiz-generation and bank exam QA systems, while earlier roles emphasized sequential recommendation and A/B-driven targeting. He contributes to open-source PyTorch tooling—improving data loaders, validation flows, and tensorboardX integration—and brings hands-on OCR research experience from GitHub projects. With a math background from POSTECH, he combines rigorous quantitative thinking with practical deployment experience, often bridging research prototypes to scalable production services.
8 years of coding experience
5 years of employment as a software developer
학사 수학, 학사 수학 at Pohang University of Science and Technology
Github Skills (7)
tensorboard10
data-loading10
pytorch10
trainings10
python10
modeling10
deep-learning9
Programming languages (2)
Github contributions (5)
victoresque/pytorch-template
Aug 2018 - Dec 2020
PyTorch deep learning projects made easy.
Role in this project:
Backend Developer
Backend DeveloperContributions:230 commits, 34 PRs, 33 pushes in 2 years 4 months
Contributions summary:Zimin primarily focused on modifying and organizing the codebase related to data loading and model training within the PyTorch template. Their contributions included refactoring data loader implementations, optimizing validation set splitting, and ensuring compatibility of the training process with models containing non-trainable parameters. The user also added support for tensorboardX, including configurable logging directories and parameter histograms.
deep-learningpytorchmachine-learning
SunQpark/pytorch-template
Dec 2020 - Oct 2022
Deep learning project template using PyTorch
Contributions:6 commits, 128 pushes, 18 branches in 1 year 10 months
pytorchlearning-projectlotterypythonautoencoder
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.