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Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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mdhasanai/README.md

Hello World!

mdhasanai mdhasanai ariyanhasan

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👋 About Me

I am Md Hasan, a Data Scientist and AI Researcher passionate about Generative AI (GenAI), Computer Vision, MRI Reconstruction, and MLOps.

  • 🎓 PhD Student in Pattern Recognition Lab at Friedrich-Alexander University Erlangen-Nuremberg (FAU), Germany.

    • Research Topic: Multimodal MRI Reconstruction
    • My research focuses on developing advanced deep learning methods for reconstructing high-quality MRI images from multimodal data in medical imaging.

  • 🧑‍💻 Expertise:

    • Large Language Models (LLMs), Generative AI, Multimodal Deep Learning
    • Computer Vision, Medical Imaging, NLP
    • MLOps, Model Deployment and AI Product Development

  • 💼 Professional Experience:

    Innomotics/Siemens Logo Data Scientist at Innomotics GmbH (Siemens)
    BMW Group Logo Data Analytics (Working Student) at BMW Group

  • 🌍 Previous Academic Background:

    • MSc in Artificial Intelligence, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Germany
    • Master’s thesis: Multimodal approach for automatic generation of radiology reports using chest X-ray images (FAU research funding)

  • 🤝 Collaboration:

    • Open to research and industry collaborations in Deep Learning, Medical Imaging, and LLMs.

  • ⚡ Fun Fact:

    • I once tried to teach a neural network to make me coffee, but it just kept brewing endless cups of chaos. ☕😄

  • 📫 Contact:

    • Email: mdhasan.nsu@gmail.com
    • Feel free to explore my GitHub repositories and connect with me for exciting AI projects!

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  1. patch-based-spoof-detection patch-based-spoof-detection Public

    Patch-Based Spoof is a deep learning framework for face anti-spoofing using patch-based convolutional neural networks.

    Python

  2. few-shot-learning-pytorch few-shot-learning-pytorch Public

    A PyTorch-based framework for few-shot and zero-shot image classification, featuring modular models, flexible data loaders, and tools for training and evaluation on datasets like NUS-WIDE and Flickr.

    Python

  3. Bangla_E2E_ASR Bangla_E2E_ASR Public

    Bangla Automatic Speech Recognition

    Python

  4. Bangla-Image-Captioning Bangla-Image-Captioning Public

    This is an Encoder-Decoder model for generating bangla caption from an input image.

    Python