With robust training in Natural Language Processing and Linguistics, Andrés is a Computer Scientist with ample experience in a variety of traditional tasks in the field, including text classification, machine translation, and sentiment analysis. Well-versed in Python and Java, he is also proficient in a variety of common developer and research tools, such as Git, GitHub, LaTeX, Scikit-Learn, and Fairseq, amongst others. Additionally, he has experience as a researcher in sentiment analysis, and ten years as an instructor in multiple disciplines, including NLP, which enables him to assess a problem, and propose solutions and explanations to suit the needs of the audience. He also completing his PhD and currently working on neural machine translation of Mayan languages.