Summary
Santiago Armstrong is a Forward Deployed AI Scientist with nine years of experience turning mathematical models into production systems that drive operational decisions at scale. Trained in computational and applied mathematics (MS, maximum distinction), he bridges Bayesian and deep learning modeling with pragmatic deployment—optimizing refineries, supermarkets, banking campaigns, and mining processes. At Cencosud he led price and demand systems that increased supermarket contribution and halved cloud costs, and at BCG X he embeds models into business workflows to ensure long-term value rather than one-off proofs of concept. He excels at the predict-then-optimize pattern and building private Python/Spark libraries and Databricks-driven pipelines that survive real-world constraints. Based in Chile, he combines rigorous academic foundations with hands-on experience aligning models to regulatory, operational, and cost realities.
9 years of coding experience
7 years of employment as a software developer
High School Diploma, GPA 6.7 / 7, High School Diploma, GPA 6.7 / 7 at Colegio San Benito
Master of Science - MS, Computational and Applied Mathematics, Maximum Distinction, Master of Science - MS, Computational and Applied Mathematics, Maximum Distinction at Pontificia Universidad Católica de Chile
Summer School, Discrete Mathematics, Distinction, Summer School, Discrete Mathematics, Distinction at Universidad de Chile
Exchange Program, Exchange Program at Worth School
Portuguese, French, Spanish, English