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eric-z-lin/README.md

Hi there 👋

I'm on a mission to accelerate enterprise AI adoption by breaking down the biggest barriers -- trust and safety -- in a scalable manner.

How? By developing product and ML breakthroughs in the fields of AI evals, safety, and hallucinations. In 2024, I committed a meaingful piece of code every single day towards this mission:
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  1. Human-AI-Trust Human-AI-Trust Public

    Final project for Harvard's CS 279r in Fall 2020.

    Python

  2. kavyakvk/TinyFederatedLearning kavyakvk/TinyFederatedLearning Public

    A scheme for privacy-preserving learning on Tiny Devices.

    C++ 48 17

  3. cs91r_volunteer_dashboard cs91r_volunteer_dashboard Public

    Dashboard for managing political campaign volunteers.

    HTML 1

  4. Finetuning-Music-Transformer Finetuning-Music-Transformer Public

    Transfer learning Google Magenta Music Transformer to datasets of different genres of music.

    Jupyter Notebook 1

  5. kavyakvk/adversarial-environment-generation kavyakvk/adversarial-environment-generation Public

    Jupyter Notebook 2