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Hi there πŸ‘‹

I'm interested in Large-scale Engineering, Data Engineering, Representation Learning, Multi-modal Understanding, Training Optimization, Data Curation

Experience

πŸ› οΈ LLM Data Engineer (now) - 42dot

πŸ” Research Intern - Kakaobrain

🌿 Research Intern @kakaobrain

πŸ‡ΊπŸ‡Έ Intern as a UI developer - Wavity

Education

πŸ‡°πŸ‡· Bachelor degree of Computer Science Engineering at Sogang University (2012 - 2019)

πŸ‡°πŸ‡· Master degree of Computer Science Engineering at Sogang University (2020 - 2022)

Competitions

πŸ₯ˆ 2020 Korea Health Dataton 2nd Prize (Binary Classification on Breast Cancer Pathology Image)

πŸ₯‡ 2020 Naver AI Rush Challenge, 1st Prize on 3 Areas (Auto Tagging on Naver Shopping Image, Mood Classification on Music, Genre Classification on Japanese Music)

Projects and Publications

πŸ“š coyo-700M Dataset: A large-scale dataset aimed at enhancing data curation and multi-modal understanding, publicly released for the research community. Check it out here: coyo-700M.

✍️ ViT Alignment Blog Post on Hugging Face: Based on the coyo-700M dataset, this blog post discusses the reproduction of Vision Transformer (ViT) models. Read the blog post: vit-align.

sungjun lee's Projects

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big_transfer icon big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

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