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samirsaliba/README.md

Hi there 👋

I’m a software engineer with a background in data science, data engineering and machine learning engineering, passionate about building scalable data-driven solutions.

  • 🌱 Currently wrapping up my master’s research in explainable AI (xAI) for time series, where I’m developing an evolutionary algorithm to discover time series subgroups using shapelets. This approach helps uncover regions where time series classification models show atypical performance.
  • 🚀 In my professional work, I specialize in real-time data processing, streaming architectures, and scalable data pipelines. My experience spans machine learning, backend engineering, and cloud-native infrastructure across various industries.
  • 🔗 Connect with me on LinkedIn.

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  1. shapelet-slice-discovery shapelet-slice-discovery Public

    Forked from predict-idlab/GENDIS

    Adaptation of "GENDIS: GEnetic DIscovery of Shapelets" to perform shapelet-based evolutionary slice discovery on timeseries classifiers -- finding regions of poor or superior performance using shap…

    Jupyter Notebook

  2. dsa-coding-exercises dsa-coding-exercises Public

    Repo for archiving my solutions to common / internet data-structures and algorithms problems.

    Python

  3. genetic-algorithm-visualization genetic-algorithm-visualization Public

    Dynamic visualization of the Genetic Algorithm for optimization using matplotlib.

    Python

  4. astar-pathfinding astar-pathfinding Public

    Simple A* pathfinding algorithm

    Python