Mario Graff is a Researcher of the National Council of Science and Technology (CONACyT) of Mexico commission to INFOTEC. During his sabbatical leave (2021-2022), he was a Visiting Assistant Professor at Colgate University, and from 2011 to 2014, Dr. Graff was an Assistant Professor at the Faculty of Electrical Engineering at the University of Michoacan, México. His research interests are in Machine Learning, Evolutionary Computation (EC), and Natural Language Processing (NLP). The research applies EC, mainly Genetic Programming (GP), to supervised learning problems. In this research avenue, special attention has been put on using GP to solve text classification and sentiment analysis problems posed as a supervised learning task. In NLP, the interest is in developing multilingual text representations, which also focus on those representations that facilitate knowledge transfer between languages. Besides publishing the research in top-ranked journals and conferences, he has decided to accompany the manuscript with the source code that implements the idea presented. The objective is to facilitate the replication process needed in any research work. This process has, as a result, four software developments publicly available at github.com, namely microTC, B4MSA, EvoMSA, and EvoDAG. All of them are implemented in Python with continuous integration techniques to test them on Linux, OSX, and Windows. Also, these developments can be installed with pip or using conda distribution.