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Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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kaihyperion/README.md
  • 👋 Hi, I’m Kai Hyperion Yun (Linkedin) Currently, I am a JellySmack Backend Software Engineer!
  • 👀 I’m interested in Neuro-Symbolic A.I./ Machine Learning/Deep Learning/Neural Network, and Algorithms and Design.
  • 🌱 I’m currently a Computer Science Student At Northwestern University.
  • 💞️ I’m looking to collaborate on any Machine Learning projects or anything fun with coding!
  • 📫 How to reach me: kaiyun2021@u.northwestern.edu

Weapons in my armory: Python, Octave, MATLAB, D3js, C++, PyTorch, HTML/CSS/JS, Conda, StreamLit, OAUTH2.0, plotly

Experience with Data Aquisition:

  • Created and deployed a web application (with the use of StreamLit) that is fully capable of acquisition of public/private YouTube data utilizing all 3 YouTube APIs (DATA V3, Analytics API, Reporting API)
  • Self-implemented OAUTH2.0 Token Authentication for Private YouTube Content Creator data access.
  • Currently deployed and is currently a frequently used as JellySmack's Internal Data Acquisition!

Fun Websites:

Website created for Jump Rope Academy business in Korea

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  1. NeuralNetworks NeuralNetworks Public

    Neural network implementing PyTorch

    Jupyter Notebook

  2. Network-Scanner Network-Scanner Public

    Python Portable Network Scanner probing domains and websites and outputting detailed network characteristics and security features and capabilities

    Python

  3. decisionTree decisionTree Public

    Decision Tree utilizing ID3 Algorithm

    Python

  4. Network-Routing-Simulator Network-Routing-Simulator Public

    Network routing simulator written in Python based on CPP Routesim code written by Professor Peter Dinda

    Python

  5. tcp-ip-simulator tcp-ip-simulator Public

    Python

  6. YoutubeDataAnalytics YoutubeDataAnalytics Public

    Youtube Data Collector by employing Youtube Data API V3

    Jupyter Notebook