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emaholinaty/README.md

Recently graduated in Physics, I am uploading some of the computational projects I developed throughout my degree. My bachelor's thesis focused on the study of open star clusters using Gaia DR3 data, which reignited my passion for astrophysics and space science, as well as for the computational tools that enable us to investigate these systems. During this project, I primarily worked with Python, although I have also used MATLAB and C++ in the past, as seen in some of the uploaded projects.

It is truly amazing how we can use these technologies to explore and model the beautifully complex reality in which we live in.

About Me

🔭 Areas of interest:

  • Aerospace
  • Astrophysics
  • Physics Simulations
  • Scientific Computing
  • Numerical Methods
  • Mathematical Modelling

Technologies

Python MATLAB C++ Git

Featured Projects

🤖 Retrieval-Augmented Generation (RAG) Pipeline

Built a complete RAG workflow combining document ingestion, embedding models, vector databases, semantic search, and large language models to generate context-aware responses.

⚙️ Coupled Oscillators

Numerical simulation of coupled oscillator systems using the fourth-order Runge-Kutta method, exploring dynamical behavior and energy transfer.

💡 1D Light-Matter Interaction Models

MATLAB implementation of one-dimensional light-matter interaction models, investigating wave propagation and electromagnetic phenomena.

🌐 Spherical Potential Distribution

Analytical and numerical study of electric potential distributions in spherical geometries, comparing exact solutions with computational approaches.

Contact

  • GitHub: @emaholinaty
  • LinkedIn: [ema-holinaty-vaquero]

Pinned Loading

  1. Modelos-de-interacci-n-luz-materia-en-MATLAB Modelos-de-interacci-n-luz-materia-en-MATLAB Public

    Simulación en MATLAB de la interacción entre ondas electromagnéticas y sistemas de partículas cargadas acopladas en 1D, utilizando el algoritmo de Verlet.

    MATLAB

  2. RAG-Pipeline-for-Scientific-Abstract-Retrieval RAG-Pipeline-for-Scientific-Abstract-Retrieval Public

    RAG system for querying scientific abstracts. The pipeline combines arXiv data ingestion, text chunking, embeddings, FAISS retrieval, semantic reranking, and FLAN-T5-Large generation. Results show …

    Jupyter Notebook