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walkerhughes/README.md

👋 Hi, I’m Walker

I'm a mathematician and machine learning engineer based in San Francisco. I'm currently building www.yieldcurvecentral.com, a one-stop solution for AI-enabled analysis of the US Treasury Yield Curve. I'm passionate about tech, backpacking in the Sierra Nevadas, and Brazilian jiu-jitsu.

Previously, I:

  • Completed large-scale SaaS implementations involving complex data engineering challenges at Addepar, a FinTech unicorn serving ultra-high-net-worth clients based in Mountain View, CA.
  • Leveraged state-of-the-art statistical modeling for high-stakes commercial lawsuits at Cornerstone Research, a leading economic consulting firm in San Francisco. I contributed to one of the first Expert Reports that utilized NLP methods in commercial litigation.
  • Conducted deep learning research at BYU focused on computer vision applications, and was a course assistant for Causal ML methods in the Economics Department.

Check out my website for more!

Pinned Loading

  1. yield-curve yield-curve Public

    Daily AI-generated newsletter on macroeconomic environment and major trends. Automates data ingestion pipeline via GitHub Actions and stores data in Google BigQuery for use at ↘️

    Python

  2. Autoencoders Autoencoders Public

    Exploration of data generation techniques with Variational Autoencoders in PyTorch, incorporating custom loss functions and deploying decoder with GCP.

    Jupyter Notebook

  3. yc-pypi yc-pypi Public

    Python package published to PyPI for quantitative yield curve analysis. Repo leverages advanced structure & CI/CD workflow with pyproject.toml/GitHub Actions/config files.

    Python

  4. U-Net-Cancer-Detection U-Net-Cancer-Detection Public

    PyTorch implementation of U-Net architecture from 2015 paper "U-Net: Convolutional Networks for Biomedical Image Segmentation."

    Python