Skip to content
View samirsaliba's full-sized avatar

Highlights

  • Pro

Block or report samirsaliba

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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.

Pinned Loading

  1. gendis-for-model-performance gendis-for-model-performance Public

    Forked from predict-idlab/GENDIS

    Adaptation of "GENDIS: GEnetic DIscovery of Shapelets" to uncover groups of instance with atypical (better or worse than average) performance.

    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