
Andrés is a data engineer with a strong background in data science, optimization, operations research, and machine learning. He specializes in making data usable for analysis, modeling, and generating valuable business insights. His expertise includes developing ETL processes, automating architecture solutions using Infrastructure as Code (IaC) and CI/CD, and designing and deploying machine learning systems.
He brings a research-driven mindset to his work, with experience in computer vision, natural language processing, and graph-based machine learning. Andrés is a fast learner, motivated by challenging architectural and scalability problems, and effective both as an independent contributor and as a leader of multidisciplinary teams.
Outside of work, Andrés enjoys spending time with his family, singing, playing guitar, traveling, and exploring cuisines from around the world.
MS, Mechanical Engineering, Universidad de los Andes
MS, Industrial Engineering, Universidad de los Andes
BS, Mechanical Engineering, Universidad de los Andes
BS, Industrial Engineering, Universidad de los Andes