Summary
Esteban Buz is a Senior Machine Learning Engineer in Vancouver with 11 years of experience building end-to-end ML systems that span experimental design, data engineering, statistical analysis, and production deployment. He has led recommendation systems and generative-AI/knowledge-retrieval tooling for product and client-facing applications, and repeatedly delivered A/B and multi-armed bandit frameworks to measure impact. His background blends academic rigor (PhD in cognitive psycholinguistics) with practical full-stack engineering—having built React/Node/Postgres experimental platforms, Dockerized Flask services, and ML pipelines for continuous, reproducible deployment. Much of his work focuses on mental health and conversational data, applying text and non-text models to improve access and personalize care at scale. Colleagues rely on him to translate subtle human-behavior insights into robust, production-ready analytics and tooling.
11 years of coding experience
7 years of employment as a software developer
Johns Hopkins University
Doctor of Philosophy (Ph.D.) Cognitive Psychology and Psycholinguistics, Doctor of Philosophy (Ph.D.) Cognitive Psychology and Psycholinguistics at University of Rochester