Heewon Jeon

AWS Machine Learning Hero

 Heewon Jeon, Applied Scientist at SK Telecom

 Seoul, Korea

 Hero since 2020

Heewon is an applied scientist at SK Telecom, where he solves many MNO (mobile network operator) business problems with data, including churn prediction with user activities and credit scoring for effective bond collection. Previously, he worked as a search engineer at Yahoo!. He has almost 16 years of data science experience, specializing in statistical modeling, data analysis, and natural language processing.

He enjoys developing NLP open source projects as a hobby, and one of his activities is contributing to GluonNLP as a member of the Distributed (Deep) Machine Learning Community, or DMLC. He likes to use MXNet as his main deep learning platform because of the efficiency of training. With MXNet and GluonNLP, to improve Korean NLP performances, he trained a large scale Korean BERT model (aka KoBERT). Recently, he successfully trained Korean GPT2 with hundreds of millions of sentences on multiple machines by cooperating with AWS internal teams. He is also an author on the MXNet and the AWS Korea blog, and has written numerous articles on model training and distribution.

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What is the AWS Heroes Program?

The AWS Heroes program recognizes a vibrant, worldwide group of AWS experts whose enthusiasm for knowledge-sharing has had a real impact within the community. Heroes go above and beyond to share AWS knowledge via social media, blog posts, videos, open source projects, events, user groups, and more.