under heavy development

Profile

• Kaggle 2x Expert. the highest competition rank is top 0.1%.
• Alternative Military Service Status : discharge (2020/11/27 ~ 2023/09/26)

Links

Email	kozistr@gmail.com
Github	https://github.com/kozistr
Kaggle	https://www.kaggle.com/kozistr
Linkedin	https://www.linkedin.com/in/kozistr

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Challenges & Awards

Machine Learning

• Kaggle Challenges :: Kaggle Challenges :: Competition Expert

  BirdCLEF 2023 - sole, top 2% (24 / 1189), Private 0.73641 - solution (2023.)

  Google - Isolated Sign Language Recognition - sole, top 5% (63 / 1165), Private 0.8377 - (2023.)

  RSNA Screening Mammography Breast Cancer Detection - solo, top 1% (16 / 1687), Private 0.49 - solution (2023.)

  G2Net Detecting Continuous Gravitational Waves - solo, top 2% (22 / 936), Private 0.771 - solution (2023.)

  American Express - Default Prediction - solo, top 3% (135 / 4875), Private 0.80758 - solution (2022.)

  Google Brain - Ventilator Pressure Prediction - team, top 1% (20 / 2605), Private 0.1171 - solution (2021.)

  SIIM-FISABIO-RSNA COVID-19 Detection - solo, top 4% (47 / 1305), Private 0.612 - solution (2021.)

  Shopee - Price Match Guarantee - solo, top 7% (166 / 2426), Private 0.725 (2021.)

  Cornell Birdcall Identification - team, top 2% (24 / 1395), Private 0.631 - towarddatascience (2020.)

  ALASKA2 Image Steganalysis - solo, top 9% (93 / 1095), Private 0.917 (2020.)

  Tweet Sentiment Extraction - solo, top 4% (84 / 2227), Private 0.71796 (2020.)

  Flower Classification with TPUs - solo, top 4% (27 / 848), Private 0.98734 (2020.)

  Kaggle Bengali.AI Handwritten Grapheme Classification - solo, top 4% (67 / 2059), Private 0.9372 (2020.)

  Kaggle Kannada MNIST Challenge - solo, top 3% (28 / 1214), Private 0.99100 (2019.)

• NAVER NLP Challenge :: NAVER NLP Challenge 2018

  Final - Semantic Role Labeling (SRL) 6th place - oral presentation

• A.I R&D Challenge :: A.I R&D Challenge 2018

  Final - Fake or Real Detection - as Digital Forensic Team

• NAVER A.I Hackathon :: NAVER A.I Hackathon 2018

  Final - Kin 4th place, Movie Review 13th place - solution

• TF-KR Challenge :: Facebook TF-KR MNIST Challenge

  TF-KR MNIST Challenge - Top 9, 3rd price, ACC 0.9964

Hacking

• Boot2Root CTF 2018 :: 2nd place (Demon + alpha)

• Harekaze CTF 2017 :: 3rd place (SeoulWesterns)

• WhiteHat League 1 (2017) :: 2nd place (Demon)

  • Awarded by 한국정보기술연구원 Received an award of $3,000

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Open Source Contributions

• syzkaller :: New Generation of Linux Kernel Fuzzer :: #575
• simpletransformers :: Transformers made simple w/ training, evaluating, and prediction possible w/ one line each. :: #290
• pytorch-image-models :: PyTorch image models, scripts, pretrained weights :: #1058, #1069
• deit :: DeiT: Data-efficient Image Transformers :: #140, #147, #148
• MADGRAD :: MADGRAD Optimization Method :: #11
• tensorflow-image-models :: TensorFlow Image Models (tfimm) is a collection of image models with pretrained weights, obtained by porting architectures from timm to TensorFlow :: #61
• onnx2tf :: Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf) :: #259
• dadaptation :: D-Adaptation for SGD, Adam and AdaGrad :: #21
• python-mastery :: Advanced Python Mastery :: #14
• text-embedding-inference :: A blazing fast inference solution for text embeddings model :: #62, #285, #343, #360, #361, #441
• langchain-ai :: Build context-aware reasoning applications :: #18839, #20057
• qdrant :: Qdrant - High-performance, massive-scale Vector Database for the next generation of AI :: #3982
• bfb :: high-load benchmarking tool :: #37
• qdrant-web-ui :: Self-hosted web UI for Qdrant :: #191