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ali ali-119

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Biomedical Engineering Student | Python & Machine Learning | Deep Learning & Computer Vision
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ali-119/README.md

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About

I'm a Biomedical Engineering student and Python developer working on Machine Learning, Deep Learning and Computer Vision.

My work sits where images and biological signals meet models: I like taking a raw medical or scientific dataset, building a clean pipeline around it, and comparing approaches properly instead of trusting a single number. I'm currently deepening my computer vision skills with OpenCV, and I'm steering my path toward bioinformatics and medical AI.

What I Do

segmentation   Build image segmentation and classification models with transfer learning and fine-tuning

pipeline   Design data pipelines: preprocessing, class imbalance handling, evaluation metrics

charts   Explore and visualize data to understand it before modeling

api   Serve trained models through APIs with FastAPI

experiments   Run structured experiments, compare models, and report limitations honestly

Tech Stack

Tools

Currently

scan-eye   Deepening computer vision with OpenCV

dna   Moving toward medical imaging and bioinformatics

Stats

Contact

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  1. LatentHealth LatentHealth Public

    This project explores **machine learning techniques** to discover hidden patterns, latent health profiles, and population subgroups within large-scale medical survey data.

    Jupyter Notebook 10

  2. PulmoScope PulmoScope Public

    An end-to-end AI pipeline that screens lung CT slices for nodules and localizes them, using patient risk factors, a CNN classifier, and U-Net segmentation.

    Jupyter Notebook 6

  3. Solar-Filament-Segmentation Solar-Filament-Segmentation Public

    Solar filament segmentation using U-Net architectures in TensorFlow/Keras, benchmarking custom CNN baseline vs. EfficientNetB0 transfer learning and fine-tuning.

    Jupyter Notebook 9

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