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ryjchen24/README.md

Hi, I’m Ryan

I’m a CS student at UC Irvine interested in Machine Learning, Data Science, and Applied AI.
I enjoy working with real-world datasets, building models from first principles, and understanding how modern ML systems work under the hood.

What I’m Currently Working On

  • Building an LLM Full Stack Web App
  • Improving my deep learning, CV, and NN skills

Technical Skills

Languages: Python, R, JavaScript, SQL, HTML, CSS, Java

ML / Data: PyTorch, NumPy, Pandas, Tidyverse, Tidymodels

Visualization: matplotlib, ggplot2, Shiny

Stack: Node.js, Express.js, React+Vite, MongoDB

Tools: Git/GitHub, RStudio

📫 How to Reach Me

Thanks for stopping by! Feel free to explore my projects!

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  1. AOM-study-ai AOM-study-ai Public

    An AI powered note and file taking app. Think Google Docs and ChatGPT combined. Good for making class notes or jotting down important terms/reminders, AOM is the future of notetaking!

    JavaScript

  2. neural-network-from-scratch neural-network-from-scratch Public

    A neural network built from scratch using NumPy, implementing forward propagation, backpropagation, ReLU, softmax and batch gradient descent for multi-class classification. Applied to 2 different M…

    Python

  3. next-word-predictor next-word-predictor Public

    A application that uses a PyTorch NLP model to predict what the next word in a user typed sentence will be

    Python

  4. nyc-fhv-demand-forecasting nyc-fhv-demand-forecasting Public

    Using 70M+ data entries, this project predicts daily for-hire vehicle trips in NYC using lm, random forest, and XGBoost, w/ geospatial visualizations showing patterns across the city.

    R

  5. r-olympic-swimming-predictor r-olympic-swimming-predictor Public

    An interactive shiny app built with R for Olympic medal forecasting through two methods: Linear and LASSO regression modeling.