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Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

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karim-sharkawy/README.md

Hi, I'm Karim El-Sharkawy 👋

I’m passionate about building production-grade machine learning systems and scalable data engineering pipelines that solve real-world problems. I enjoy working on end-to-end ML workflows with a strong focus on MLOps and platform-level engineering.

  • 🔬 Current project: Designing a full ML Engineering + MLOps pipeline with modular branches for data engineering and model development, using SQL, PySpark, TensorFlow, Docker, and CI/CD to simulate real production ML platform workflows.
  • 🧑‍💻 Interests: Production ML systems, NLP for social impact, scalable data pipelines, ML infrastructure, system optimization.
  • ⚡ Skills: Python (scikit-learn, TensorFlow), PySpark, SQL, AzureML, Docker, CI/CD

LinkedIn

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  1. Climate-Resilient-Communities/ClimateLens Climate-Resilient-Communities/ClimateLens Public

    Understanding climate-related emotions through social media analysis

    HTML 2 2

  2. customer-feedback-pipeline customer-feedback-pipeline Public

    A scalable, end-to-end NLP pipeline for analyzing customer feedback. Ingests, processes, and classifies sentiment and topics, with MLflow tracking and FastAPI model serving.

    Python

  3. STF STF Public

    A dynamic 2D universe where words move, interact, and self-organize to visualize evolving meaning.

    Python

  4. AI-Driven-Renewable-Energy-Optimization AI-Driven-Renewable-Energy-Optimization Public

    Reinforcement learning to handle uncertainties in renewable energy flux

    Jupyter Notebook

  5. SelfCurate SelfCurate Public

    A Python pipeline for iterative dataset curation and self-improving model training

    Makefile

  6. Notions-of-Positivity-and-Complexity-in-Quantum-Information-Theory Notions-of-Positivity-and-Complexity-in-Quantum-Information-Theory Public

    Research project supervised by Professor Thomas Sinclair of Purdue Mathematics titled "Notions of Positivity and Complexity in Quantum Information Theory"

    Python