Summary
Carlos Zubieta is a Staff Data Engineer based in Portland with nine years of experience building scalable data platforms and ML-enabled pipelines. He has progressed from research-focused roles at HP/HPE Labs—working on large-scale graph inference and anomaly detection—to senior and staff data engineering positions at Wizeline and Cerby, where he focuses on automation, big data, and productionizing ML and computer vision workloads. Carlos combines a hands-on systems mindset with algorithmic depth from his electronics engineering background, optimizing code and architectures for scale and reliability. Equally comfortable in Linux and open-source ecosystems, he brings a practical blend of research rigor and product-driven engineering to complex data problems. A subtle strength is his track record of translating graph and inference research into production-ready analytics and anomaly-detection solutions.
9 years of coding experience
11 years of employment as a software developer
Electronics engineer Ingeniería eléctrica y electrónica, Electronics engineer Ingeniería eléctrica y electrónica at Universidad Autonoma de San Luis Potosi