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simachewalamneh/README.md

Hello, I'm Simachew Alamneh 👋

💫 About Me

I am a Computer Science researcher specializing in Artificial Intelligence, Deep Learning, and Natural Language Processing. I am passionate about developing intelligent systems that address real-world challenges through machine learning and data-driven approaches.

My research interests include deep neural networks, computer vision, NLP, continual learning, and generative AI. I enjoy exploring emerging AI technologies and contributing to impactful research and open-source projects.

🔬 Research Interests

  • Artificial Intelligence & Machine Learning
  • Deep Learning Architectures
  • Computer Vision
  • Natural Language Processing
  • Large Language Models & Generative AI
  • Continual Learning

🛠️ Technologies & Tools

  • Programming: Python
  • Deep Learning: TensorFlow, Keras, PyTorch
  • Machine Learning: Scikit-learn
  • AI & NLP: Transformers, Embedding Models, NLP Libraries
  • Tools: Git, GitHub, Linux, Jupyter Notebook

🚀 Current Focus

  • Advancing deep learning methods for intelligent systems
  • Exploring adaptive AI through continual learning
  • Building practical AI applications using deep learning and NLP

🌐 Connect With Me

Open to AI research collaborations, open-source contributions, and knowledge exchange with researchers and developers.

Pinned Loading

  1. Connect-Four-Game-Player-Agents-using-MCTS Connect-Four-Game-Player-Agents-using-MCTS Public

    Build a Monte Carlo Tree Search (MCTS) agent completely from scratch.

    Python

  2. healthcare-recommendation-nlp-ml-comparative-study healthcare-recommendation-nlp-ml-comparative-study Public

    A comparative study of healthcare recommendation systems using NLP and Machine Learning. This project evaluates Content-Based Filtering, Collaborative Filtering, and Hybrid Recommendation Models fo…

    Python

  3. ContinualLearning ContinualLearning Public

    Forked from iCog-Labs-Dev/ContinualLearning

    Experimental study of causal and Bayesian approaches to continual learning

    Python 1

  4. frozen-lake-qlearning frozen-lake-qlearning Public

    Tabular Q-Learning agent trained on FrozenLake-v1 from scratch using NumPy. Includes slippery vs non-slippery comparison, learning curves, and evaluation report

    Jupyter Notebook

  5. pca-dimensionality-reduction pca-dimensionality-reduction Public

    Jupyter Notebook

  6. transformer-model-classical transformer-model-classical Public

    Forked from Cheralia/transformer-model-classical

    Create fork

    Python