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I'm Luis Mata, a Scientific Engineer with expertise in AI research and development. My passion for graph theory, cognitive sciences, metaheuristics, and natural language has driven my career in developing cutting-edge AI solutions. Through my experience in academic research groups of international excellence and industry, I have gained a solid foundation in scientific methodology and the ability to analyze and synthesize complex information.

My technical skills include data science, deep learning R&D, and model design using libraries and frameworks such as Scikit-Learn, Numpy, CUDA, Tensorflow, Pytorch, PySpark, NetworkX, and more. I'm also skilled in Linux, shell scripting, and network programming and have experience using boto3 to interface with AWS services. Additionally, I have experience using Docker, Airflow, Celery, MLFlow, and Kubernetes to build and deploy machine learning models and data pipelines.

I'm currently working as a Senior ML Engineer at Fujitsu's CoE of Advanced Analytics in Madrid, Spain, where I specialize in Graph Machine Learning Engineering. I'm always looking to collaborate on interesting AI projects and learn from other professionals in the field.

Feel free to connect with me on LinkedIn or explore my Github repositories to learn more about my work.

1. Cellular Automaton Visualization: A Jupyter notebook illustrating the concept of Wolfram's cellular automaton using Python and Matplotlib to generate an animated GIF.

🔭 This space will soon be populated with exciting learning opportunities 🌱 and meticulously documented projects.