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A-matindoust/README.md

💫 About Me:

🔭 I spent 2+ years at Forschungszentrum Jülich building deep-learning pipelines for photovoltaic electroluminescence defect detection
🌱 I'm currently learning advanced object tracking (SORT, DeepSORT, BoT-SORT, ByteTrack)
😄 Pronouns: he/him
⚡ Fun fact: I love turning messy, low-quality data into models that actually work!

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python C++ AWS Anaconda nVIDIA FastAPI Flask OpenCV Nginx Keras Matplotlib mlflow NumPy Pandas PyTorch scikit-learn TensorFlow Git GitHub GitLab Docker

📊 GitHub Stats:



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  1. colonoscopy-polyp-detection colonoscopy-polyp-detection Public

    YOLO11n-based polyp detection for colonoscopy video, with alerts and frame capture for later review.

    Jupyter Notebook

  2. Medical-Image-Segmentation-using-U-Net-ResUNet-and-DeepLabV3- Medical-Image-Segmentation-using-U-Net-ResUNet-and-DeepLabV3- Public

    Implementation and comparison of U-Net, ResUNet, and DeepLabV3+ for brain tumor semantic segmentation using PyTorch. Includes model architectures, evaluation metrics, training pipeline, and perform…

    Jupyter Notebook

  3. autonomous-driving-object-detection-tracking autonomous-driving-object-detection-tracking Public

    YOLO11 based object detection and tracking for autonomous driving, with an option to combine detections with lane perception.

    Jupyter Notebook

  4. Transferlearning Transferlearning Public

    Image classification using Custom CNN and Transfer Learning with EfficientNetV2B1 on Intel Image and CIFAR-10 datasets.

    Jupyter Notebook

  5. autonomous-driving-lane-perception autonomous-driving-lane-perception Public

    Real-time lane segmentation and tracking for autonomous driving, using video frames to identify road boundaries and support lane awareness.

    Jupyter Notebook

  6. Computer-Vision-GANs-From-Simple-GAN-to-CycleGAN Computer-Vision-GANs-From-Simple-GAN-to-CycleGAN Public

    A collection of Generative Adversarial Network (GAN) implementations for Computer Vision, covering Simple GAN, DCGAN, Conditional GAN (cGAN), Pix2Pix, and CycleGAN using TensorFlow.

    Jupyter Notebook