Alejandro Aristizábal
About Alejandro Aristizábal
Alejandro Aristizábal is a Machine Learning Engineer based in Bogotá, Colombia, with a background in sound engineering and a strong focus on integrating AI with the arts. He has experience in developing AI models and projects that combine dance, movement, and music.
Work at Factored
Alejandro Aristizábal has been employed at Factored as a Machine Learning Engineer since 2021. His role involves leveraging advanced machine learning techniques to develop innovative solutions. He is based in Bogotá, Distrito Capital, Colombia, and has contributed to various projects that integrate artificial intelligence with practical applications.
Education and Expertise
Alejandro holds a Bachelor of Music in Sound Engineering from Pontificia Universidad Javeriana, which he completed from 2013 to 2019. He furthered his education by obtaining a Computer Vision Nanodegree from Udacity, studying from 2019 to 2020. In 2021, he completed a Data Engineering Nanodegree from Udacity, enhancing his technical skills in machine learning and data processing.
Background
Before joining Factored, Alejandro co-founded Muvsic, where he worked for two years from 2017 to 2019 in Bogotá D.C., Colombia. His experience in the startup environment provided him with insights into the intersection of technology and creative industries, particularly in music and sound engineering.
Achievements
Alejandro has developed a creative project that merges dance and movement with music through the use of Deep Learning models. He is also involved in implementing medperf with MLCommons, which focuses on the federated evaluation of AI models using private medical data. His work reflects a commitment to exploring innovative applications of machine learning.
Skills and Interests
Alejandro possesses a diverse skill set that includes proficiency in AI technologies such as TensorFlow, PyTorch, and Jax. He is also skilled in music production tools, including Pro Tools and Logic Pro. His passion lies in exploring the intersection of AI and the arts, particularly through generative algorithms for art and music.