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thaopham03/README.md

CompSci & Math @ Berea College 2026

✨ About me:

  • I research the risks and robustness of large language models (LLMs), focusing on deceptive alignment and evaluation benchmarks. Currently, I'm deepening my understanding of AI safety and x-risk through the AISF Alignment course by BlueDot Impact, as I believe AI safety is the most critical challenge of our time.
  • As a passionate OSS contributor, my previous OSS contribution includes BIMserver and Runestone Academy. Besides, I am always looking for opportunities to become a community builder, especially around accessible AI safety education for the Global South.
  • Outside of work, I am a Rubik’s Cube and Weiqi enthusiast. Sometimes, you'll find me hiking the mountains in the Appalachia or the mesmerizing valley of Andorra.

✨ Projects:

  • Golang Compiler using Python PLY and YACC. GitHub Repo
  • Land Feature Convolutional Neural Network. GitHub Repo
  • Open Source Textbooks for Runestone Academy. GitHub Repo

✨ Technologies:

✨ Contact:

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  1. opensource opensource Public

    Forked from pearcej/opensource

    Open Source: What it is and How to Contribute

    Lua

  2. hoerstl/LandFeatureANN hoerstl/LandFeatureANN Public

    Python 1

  3. Go-compiler Go-compiler Public

    GitHub repository for Go programming language compiler

    Python

  4. evaluating_fan_effects_in_large_language_models evaluating_fan_effects_in_large_language_models Public

    (Working title) Evaluating Fan Effects in Large Language Models

    Jupyter Notebook