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CFMateo/README.md


➤ Bonjour ! I’m an ML engineer at an AI startup, working on NLP, model training, evaluation and data engineering.
➤ I study Mathematics & Computer Science at Université de Montréal.
➤ A few things I’ve built: COMPAS Fairness Analysis — fairness analysis for predictive models • CloudVisionServe — serving vision models • Retinal grading — evaluation under class imbalance
➤ Right now, I’m digging into GEPA, recursive language models (RLMs) and better LLM evaluation.
➤ Find me on Hugging Face • LinkedIn.

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  1. retinal-grading-under-imbalance retinal-grading-under-imbalance Public

    A comparative machine-learning study for a five-grade diabetic retinopathy Kaggle competition, investigating model selection and evaluation under class imbalance.

    Jupyter Notebook 1

  2. CloudVisionServe CloudVisionServe Public

    Classify uploaded images with four pretrained PyTorch/TorchVision models through Flask and Streamlit, packaged with Docker for Google Cloud Run.

    Python

  3. hilbert-matrix-numerical-stability hilbert-matrix-numerical-stability Public

    MATLAB experiment on ill-conditioned Hilbert systems: why residual, coefficient error and function error can tell different stories.

    MATLAB 1

  4. beer-quality-model-selection beer-quality-model-selection Public

    Seven-grade beer-quality classification on imbalanced Kaggle data, from KNN baselines to Bayesian-tuned HistGradientBoosting.

    Jupyter Notebook

  5. audioset-clip-reconstruction audioset-clip-reconstruction Public

    Reconstructing label-selected audio clips from Google's AudioSet metadata with Python, yt-dlp, and FFmpeg.

    Python

  6. interpreting-tabular-models interpreting-tabular-models Public

    Two Random Forest case studies connecting validation performance, global feature reliance, local SHAP attribution and input representation.

    Jupyter Notebook