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adammounir/README.md

Hi, I'm Adam 👋

🎓 MEng. in Data & Artificial Intelligence at EFREI - Paris Panthéon-Assas
🔬 Guest Auditor at ENS Paris-Saclay (MVA) in the Advanced Deep Learning program
🚀 Former AI Research Scientist Intern at Thales
🔥 Passionate about loss landscapes, neuro-AI, and causal reasoning for model robustness

Highlights

  • 🛡️ Microsoft x Finelog-Biseum RAG Hackathon : Developed secure Retrieval-Augmented Generation systems for confidential data and privacy-preserving information retrieval.
  • 🧠 NullFlow : Designing bio-inspired architectures to tackle catastrophic forgetting via Wake-Sleep/DDPM frameworks and latent replay
  • 📉 Double Descent & Loss Landscapes : Investigating the generalization paradox and the influence of SGD implicit bias on minima flatness @ MVA

⚙️ Tech & Tools

🤝 Connect

Currently pursuing an MEng. in Data & AI at EFREI and the MVA ENS Paris-Saclay (Guest Auditor) , following research work.

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  1. NullFlow NullFlow Public

    Neuro-AI Continual learning framework combining flow matching, null-space projection, and wake-sleep consolidation in frozen latent space.

    Python

  2. Grad-CAM-Visual-Explanations Grad-CAM-Visual-Explanations Public

    Computer Vision using Grad-CAM

    Jupyter Notebook

  3. C-MNIST C-MNIST Public

    Computer Vision from scratch in C language - MNIST Handwritten digits recognition

    C

  4. Few-Data-Learning Few-Data-Learning Public

    Low-budget and few-data image classification with LoRA & augmentation

    Jupyter Notebook

  5. Adversarial-Fact-Checking Adversarial-Fact-Checking Public

    Jupyter Notebook

  6. Graph-Neural-Networks Graph-Neural-Networks Public

    GNN node classification and Conv2D as message passing

    Jupyter Notebook