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mohammednagdi/README.md

πŸ‘‹ Hi, I'm Mohammed Nagdi

πŸŽ“ MSc Artificial Intelligence graduate from the University of Edinburgh | Google DeepMind Scholar
πŸ”¬ AI Researcher specialising in Reinforcement Learning, Large Language Models, and Dynamical Systems
πŸ’Ό Software Engineer with 4+ years in platform engineering and scalable AI systems

πŸ” Current Research Focus

  • Building GPT models for system identification and time-series forecasting
  • Applying Koopman theory and Kolmogorov-Arnold Networks to biological systems
  • Exploring reinforcement learning applications in reasoning problems for LLMs

πŸ› οΈ Tech Stack

ML & AI: PyTorch, Scikit-learn, Hugging Face, NLP, Reinforcement Learning
MLOps: Docker, CI/CD, GCP Certified, Serverless Architecture
Development: Python, Java, API Development, Microservices, WSO2
Data: PostgreSQL, Oracle, Apache Superset, Pandas, NumPy

🌍 Community & Leadership

  • IndabaX Organiser & Mentor (2019-2021): Led ML workshops and mentored students across Africa
  • Passionate about ethical AI development and democratizing AI education

πŸ“« Let's Connect

Building the future of AI, one algorithm at a time πŸ€–βœ¨

Pinned Loading

  1. DeepKoopman-Pytorch DeepKoopman-Pytorch Public

    Forked from mlpotter/DeepKoopmanLusch

    PyTorch Implementation of Lusch et al DeepKoopman

    Jupyter Notebook

  2. efficient-kan efficient-kan Public

    Forked from Blealtan/efficient-kan

    An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

    Python

  3. moment moment Public

    Forked from moment-timeseries-foundation-model/moment

    MOMENT: A Family of Open Time-series Foundation Models

    TypeScript

  4. PolyKAN PolyKAN Public

    Testing Different Implementation of orthogonal KAN

    Jupyter Notebook

  5. Timesmamaba Timesmamaba Public

    Python

  6. evanniko1/bio-koopman-autoencoder evanniko1/bio-koopman-autoencoder Public

    Jupyter Notebook