Tae-hwan Jung
Software Engineer at Merekat Pte. Ltd.
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolTae-hwan Jung is a Seoul-based software engineer with a decade of hands-on experience building AI and Web3 solutions while completing a Computer Engineering degree at Kyung Hee University. Currently at Merekat Pte. Ltd., he combines practical engineering with a passion for open source and believes well-crafted projects can drive new industries. His GitHub history includes substantial NLP work—implementing and refactoring Seq2Seq, TextCNN, Bi-LSTM with attention, Transformer, and BERT models in both PyTorch and TensorFlow within a widely used NLP tutorial repo. Formerly an AI engineer and active Web3 developer, he brings a research-minded approach to production problems and a taste for experimental, community-driven software. Notably, he bridges deep learning model engineering and decentralized application interests, making him comfortable across ML pipelines and emerging blockchain stacks.
10 years of coding experience
Undergraduate, Computer Engineering, Undergraduate, Computer Engineering at Kyung Hee University
Github Skills (6)
pytorch10
transformer10
nlp10
tensorflow10
seq2seq9
bert8
Programming languages (13)
Github contributions (5)
graykode/NLP-tutorial
Dec 2018 - Dec 2018
Role in this project:
ML Engineer
ML EngineerContributions:1 push, 1 branch in 25 days
Contributions summary:Tae-hwan primarily contributed to several natural language processing (NLP) tutorial projects within the repository. Their work included implementing and refactoring models such as Seq2Seq, TextCNN, Bi-LSTM with Attention, and Transformer, using both PyTorch and TensorFlow frameworks. They also added and tested BERT models, showcasing their focus on various deep learning architectures and NLP techniques.
clober-dex/clober-market-maker
May 2024 - Sep 2024
Contributions:15 reviews, 139 PRs, 330 pushes in 3 months
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