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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 [email protected] :)

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

📊 this week i spent my time on:

Profile Views

Lines of code

I'm a Night 🦉

🌞 Morning                1145 commits        ██░░░░░░░░░░░░░░░░░░░░░░░   08.50 % 
🌆 Daytime                5467 commits        ██████████░░░░░░░░░░░░░░░   40.60 % 
🌃 Evening                4839 commits        █████████░░░░░░░░░░░░░░░░   35.94 % 
🌙 Night                  2014 commits        ████░░░░░░░░░░░░░░░░░░░░░   14.96 % 

Last Updated on 14/07/2024 15:23:58 UTC

📈 my github stats

kozistr

Hyeongchan Kim's Projects

awesome-gans icon awesome-gans

Awesome Generative Adversarial Networks with tensorflow

gan-metrics icon gan-metrics

Lots of evaluation metrics for the generative adversarial networks in pytorch

gan_demo icon gan_demo

GAN image generator with django (backend)

hnswlib-rs icon hnswlib-rs

Rust implementation of the HNSW algorithm (Malkov-Yashunin)

improved-edge-connect icon improved-edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 w/ some my ways :)

natsr-pytorch icon natsr-pytorch

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019) in pytorch

rcan-tensorflow icon rcan-tensorflow

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

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