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gabcal07/README.md

Hi ๐Ÿ‘‹, I'm Gabriel

  • ๐ŸŽ“ Final-year Computer Science Engineering student at EPITA Paris, specializing in Data Science & Artificial Intelligence.
  • ๐Ÿง  Passionate about building reliable, future-proof systems โ€” where clean architecture meets intelligent software.
  • ๐Ÿš€ Focused on ML & AI engineering โ€” exploring how to design scalable, maintainable, and production-ready AI solutions.
  • ๐ŸŒ Always learning, iterating, and experimenting โ€” turning complex ideas into elegant implementations.

Connect with me:

LinkedIn


Languages and Tools:

C C++ C# Java Python Scala TypeScript JavaScript PostgreSQL MySQL MongoDB Elasticsearch TensorFlow PyTorch Scikit-learn Pandas Docker Kubernetes Azure Kafka (dark) Git Linux


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  1. tinyX tinyX Public

    Backend application for blogging application like X (formerly Twitter) built with scalability, reliability and deployability in mind. The backend is in Java using the Quarkuss framework and comes wโ€ฆ

    Java

  2. cnn_image_deblurring cnn_image_deblurring Public

    Convolutional network following an architecture similar to ResNet for image deblurring on the GoPro dataset.

    Jupyter Notebook 3

  3. Data-engineering-POC Data-engineering-POC Public

    This is a POC of a data engineering use case where farmers have intelligent sensors across all their fields and need to process the data from said sensors regularly. An alert use case is also impleโ€ฆ

    Scala

  4. Kuairec_Hybrid_recommender_system Kuairec_Hybrid_recommender_system Public

    Recommender Systems class final project where we built and evaluated a hybrid model for recomending short videos from the KuaiRec dataset.

    Jupyter Notebook

  5. CSP_WORDLE CSP_WORDLE Public

    Constraint Programming Solver with GenAI for Wordle game

    Jupyter Notebook

  6. MNIST_C MNIST_C Public

    This is the first project I did in C in my first year of engineering school. It is a simple neural network implemented from scratch for recognizing digits images

    C