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Hello there

📍 Sacramento, California
🎓 Computer Engineering and Honors Philosophy, University of Notre Dame 2022

I have a lot of experience operating in fast-paced startup environments and interacting in cross-collaborational teams. Technically, I am most proficient working in software development with React Native and data science with Python. I especially enjoy writing clean, modular code that can be understood and easily reused by other developers.

Beyond this, I have research interests in human behavior and cognition (especially how it relates to our relationship to technology), which combine my philosophical and technical background. These interests allow me to have insight into UX behavioral design, algorithm design, artificial cognition, human-centered technology and technology ethics.

🧰 Technical Tools

Python PyTorch NumPy Pandas scikit-learn Jupyter Notebook Plotly JavaScript TypeScript React React Native Redux Next Node Firebase HTML5 CSS3 Bootstrap Ant-Design Yarn Expo C++ C Bash Git GitHub Arduino

And always, with great help from...

Stack Overflow YouTube Google

📈 GitHub Stats

GitHub Streak
Kekoa's GitHub stats

🤙 Connect

Kekoa Wong's Projects

boilerplate icon boilerplate

Starter frontend template for mobile apps built in React Native using Expo, also using libraries such as react navigation, react native elements and victory native.

campuswayzz icon campuswayzz

Fueling Campus Discovery. A mobile app created using a MERN stack (MongoDB, Express.js, React.native, Node.js)

d3.forcebundle icon d3.forcebundle

Force Directed Edge Bundling (FDEB) in Javascript; d3.js ready. (https://www.win.tue.nl/vis1/home/dholten/papers/forcebundles_eurovis.pdf)

hdhp.py icon hdhp.py

Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017

personal_website icon personal_website

Kekoa Wong's personal website built using JavaScript, CSS, and HTML. Rendering elements efficiently using JavaScript. Hosted at kekoawong.com.

tweet_classification icon tweet_classification

A comparative analysis between machine learning classification methods in the field of computational social science, utilizing libraries such as pandas, sklearn, pickle, keras, tensorflow, and nltk to build classification models.

unsupervisedlanguagetranslation icon unsupervisedlanguagetranslation

An implementation of unsupervised machine translation, primarily for the purpose of translating text styles without a parallel translation dataset.

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