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zainbabar/README.md

hey, i'm zain.

mathematics student at the university of waterloo, into ai and machine learning. lately i've been building practical ml applications for the real world, and exploring the capabilities and limitations of modern models.

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  1. pathshift pathshift Public

    convolutional neural network built from scratch and trained on PathMNIST, with a robustness eval and label-free MMD shift detection.

    Python

  2. chess-llm-reasoning chess-llm-reasoning Public

    1.7B model matches gpt-oss-120b at chess tactics with 300× fewer tokens, plus a study of knowledge distillation and RL reward hacking.

    Python

  3. chambercrawler3000 chambercrawler3000 Public

    object-oriented c++ roguelike built around five core design patterns

    C++

  4. vehicle-price-predictor vehicle-price-predictor Public

    used-car prices from specs, R² = 0.957

    Jupyter Notebook