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Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Organizations

@EPFL-VILAB @AMTESFUNAAB @SPARK-Academy-2025

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ileri-oluwa-kiiye/README.md

✨ About Me

Hi! I'm Ilerioluwakiiye Abolade, a Machine Learning Engineer and Researcher passionate about advancing solutions to challenges in medical imaging. I'm currently studying Mechatronics Engineering, and I also have a strong background in Software Engineering.

My work lives at the intersection of deep learning and healthcare, with a notable focus on building solutions for low-resource environments.

🤍 Socials

LinkedIn Email Twitter

Tech Stack

Python JavaScript TypeScript

PyTorch TensorFlow Keras scikit-learn NumPy Pandas Matplotlib OpenCV

MONAI SimpleITK

Django Flask

React TailwindCSS

🔥 GitHub Stats


✍️ Random Dev Quote

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  1. u-net-medical-image-segmentation u-net-medical-image-segmentation Public

    Deep learning model for medical image segmentation using U-Net architecture, implemented in Python with Pytorch.

    Jupyter Notebook 2

  2. brain_tumor_prediction brain_tumor_prediction Public

    Classifying brain tumor images from a provided MRI dataset into distinct categories; Glioma, Meningioma, Pituitary, and No Tumor.

    Jupyter Notebook 1

  3. SwinUNETR-BraTS21 SwinUNETR-BraTS21 Public

    Implementation of SwinUNETR for 3D brain tumor segmentation using the BraTS 2021 dataset. Built with MONAI and PyTorch, this notebook explores transformer-based architectures for volumetric medical…

    Jupyter Notebook 4

  4. diabetic_renopathy diabetic_renopathy Public

    Diabetic retinopathy detection using MobileNetV3 with preprocessing, balanced sampling, Grad-CAM explainability, and PyTorch.

    Jupyter Notebook

  5. pneumonia_detection pneumonia_detection Public

    Pneumonia diagnosis from X-ray images.

    Jupyter Notebook 2 1

  6. image_captioning image_captioning Public

    An end-to-end implementation of an image captioning model with attention, trained on the Flickr8k dataset.

    Jupyter Notebook