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kozistr/README.md

hey there


Hello! I'm Hyeongchan from Korea. I enjoy programming, working out, and bouldering.

  • Service many machine learning products in various domains, Audio & Speech, Vision, NLP, Recommendation Systems, Tabular, and LLM applications in many startups.
  • Kaggle 2x Expert. the highest competition rank is top 0.1%.
  • Here's my C.V. Feel free to contact me at the email kozistr@gmail.com :)

previously...

  • 2023 - 2024 : Joined Sionic.AI. Built enterprise-grade LLM applications.
  • 2021 - 2023 : Joined Viva Republica (Toss). Developed many products like BNPL, CSS, OCR, NPS, CDP, and in-house products.
  • 2020 - 2021 : Joined Watcha. Developed Watcha recommendation system, and contributed to other products like WatchaPedia, in-house applications.
  • 2019 - 2020 : Joined Rainist (Banksalad). Developed a transaction classifier service to analyze the categories with low latency, high accuracy, and in real-time.
  • 2019 : Joined VoyagerX. Developed a speaker diarization product that automatically recognizes the contents of the meeting.
  • - 2019 : offensive security stuffs. Mainly researched and studied Linux kernel exploitation and reverse engineering.

Current Interests

  • Kaggle Challenges
  • Building something in Rust
  • Bouldering

πŸ“Š this week i spent my time on:

Profile Views

Lines of code

I'm a Night πŸ¦‰

🌞 Morning                1454 commits        β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   10.26 % 
πŸŒ† Daytime                5584 commits        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   39.40 % 
πŸŒƒ Evening                5008 commits        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   35.34 % 
πŸŒ™ Night                  2126 commits        β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   15.00 % 

Last Updated on 16/11/2024 15:32:43 UTC

πŸ“ˆ my github stats

kozistr

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  1. pytorch_optimizer pytorch_optimizer Public

    optimizer & lr scheduler & loss function collections in PyTorch

    Python 237 19

  2. Awesome-GANs Awesome-GANs Public

    Awesome Generative Adversarial Networks with tensorflow

    Python 760 163

  3. rcan-tensorflow rcan-tensorflow Public

    Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

    Python 51 23

  4. Awesome-Segmentations Awesome-Segmentations Public

    Lots of semantic image segmentation implementations in Tensorflow/Keras

    Python 65 15

  5. AdaBound-tensorflow AdaBound-tensorflow Public

    An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

    Python 45 6

  6. kozistr.github.io kozistr.github.io Public

    my github blog

    TypeScript 4