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Stavros Armeniakos completed his studies in the Department of Informatics at the Athens University of Economics and Business with a specialization in Data Science. His academic interests lie in Machine Learning and Deep Learning, Numerical Linear Algebra, and Scientific Computing, with a particular focus on their applications in sound. He has worked as a Search Engine Optimization Specialist and has participated in projects for the categorization of music tracks based on audio information. He is proficient in Python and the corresponding frameworks for Deep Learning and Data Analysis (PyTorch, Keras, scikit-learn, numpy, pandas), as well as the Julia language and its relevant packages for scientific computing and Deep Learning (LinearAlgebra, Plots, SparseMatrixCSC, Flux, Polynomials, DataFrames, etc.).