AI Upstream Leader at Ecopetrol
A pioneering leader in Artificial Intelligence (AI) for the Upstream sector at Ecopetrol, driving innovation in energy systems optimization. He achieved a groundbreaking milestone—placing the first barrels in tank by AI for water pusher reservoirs—demonstrating the transformative potential of AI in the industry. Passionate about scaling and replicating systems-oriented AI, he champions its high-impact contributions to reliability, resilience, and efficiency within the energy matrix.
With nearly 15 years of experience optimizing complex energy systems, he holds multiple advanced degrees, including a Master’s in Operations Research and Statistics and a Master’s in Petroleum Engineering from Universidad de los Andes. He further earned an MSc in Intelligent Systems from King's College and pursued studies at the Georgia Institute of Technology. His expertise is reinforced by certifications in quantitative finance (CQF, Fitch Ratings) and Six Sigma Black Belt (University of Arizona).