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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

prnet icon prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

pymcubes icon pymcubes

Marching cubes (and related tools) for Python

self-attention-gan icon self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

simclr icon simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

singan icon singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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