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CoboAr/README.md

Arnold Cobo

AI Healthcare | Machine Learning Engineer

Master of Applied Science – Electrical & Computer Engineering
Toronto Metropolitan University (TMU) | Specialization: Healthcare AI

About Me

I am a computer engineer passionate about Artificial Intelligence and its transformative potential in solving real-world challenges. Currently pursuing a Master of Applied Science in Electrical and Computer Engineering at Toronto Metropolitan University (TMU), I focus on medical AI and deep learning applications.

With a strong foundation in mathematics and computer engineering, I specialize in machine learning, deep learning, and software development. My research is conducted within:

  • Biomedical Signal & Image Processing Lab (BSIPL) – Developing a deep learning model for cardiac rotor detection in atrial and ventricular arrhythmias.
  • TMU Multimedia Research Lab – Enhancing an object detection model for neonatal lung ultrasound analysis to assist in clinical diagnostics.

🛠️ Technical Skills

Languages

Python Java C++ C Assembly MATLAB

Machine Learning / Deep Learning

PyTorch TensorFlow Scikit-Learn MLFlow NumPy Pandas Seaborn SciPy Matplotlib Librosa

Big Data & Cloud Computing

Hadoop Apache Spark MySQL PostgreSQL MongoDB

Technologies & Frameworks

Flask OpenGL

📌 Profile Insights

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  1. Tumor-Brain-Segmentation-with-U-Net Tumor-Brain-Segmentation-with-U-Net Public

    Jupyter Notebook

  2. Adaptive-DP-in-FL-Real-Time-Noise-Scaling-Based-on-Gradient-Norm-Sensitivity Adaptive-DP-in-FL-Real-Time-Noise-Scaling-Based-on-Gradient-Norm-Sensitivity Public

    Python

  3. Lung-Mask-Segmentation-with-U-Net Lung-Mask-Segmentation-with-U-Net Public

    Jupyter Notebook

  4. Integrating-Emotional-Awareness-for-Deepfake-Synthetic-Speech-Detection Integrating-Emotional-Awareness-for-Deepfake-Synthetic-Speech-Detection Public

    Jupyter Notebook 1

  5. Battle-of-Zeppelins Battle-of-Zeppelins Public

    C++

  6. Ticketing-System Ticketing-System Public

    Java