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raphaelgimenezneto/README.md

Hi there, I'm Raphael 👋

I'm a systems thinker and software developer passionate about modeling complex systems and building high-performance tools to understand them. My main focus is on scientific computing, numerical simulation, and writing fast, robust, and reproducible Python code.

I specialize in:

  • 🚀 High-Performance Computing: Accelerating Python code with Numba, NumPy, and optimized algorithms.
  • 🔬 Scientific & Numerical Simulation: Building physics-based models and data generation pipelines from the ground up.
  • 🛠️ Reproducible Systems: Engineering robust workflows with version control, metadata, and clear documentation.
  • 🔭 I’m currently exploring chaotic dynamics and MLOps principles.
  • 🌱 I’m always learning more about numerical methods and systems architecture.
  • 📫 You can reach me on LinkedIn.

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  1. chaotic-3body-simulation chaotic-3body-simulation Public

    A Numba-accelerated simulation and spatial analysis of a chaotic gravitational system, built with a focus on extreme performance and 100% reproducibility.

    Python

  2. aeon aeon Public

    Forked from aeon-toolkit/aeon

    A toolkit for time series machine learning and deep learning

    Python

  3. amangkurat amangkurat Public

    Forked from sandyherho/amangkurat

    Symplectic pseudo-spectral solver for (1+1)D nonlinear Klein-Gordon equation with topological solitons, breathers, and Numba acceleration.

    Python