Rod Albuyeh
- Biography
Biography
Rod Albuyeh is a data scientist and educator with extensive experience in designing and scaling production-grade machine learning systems in enterprise environments. His work spans deep learning, MLOps, and time-series modeling, with deployments across healthcare, finance, and technology. Albuyeh has led applied research teams, architected end-to-end ML platforms, and advised on integrating machine learning into high-stakes, regulated contexts.
Previously, Albuyeh served as Principal Data Scientist at Labcorp, where he focused on building robust, scalable ML infrastructure and developing end-to-end model pipelines. Prior to Labcorp, he held technical leadership roles in the FinTech and HealthTech industries, contributing to mission-critical AI initiatives at Intuit, Oportun, Figure, and Resmed. In academia, Albuyeh lectures at UC San Diego and the University of San Diego, where he teaches courses on applied AI and data systems, emphasizing the integration of foundational theory with real-world systems.
Previously, Albuyeh served as Principal Data Scientist at Labcorp, where he focused on building robust, scalable ML infrastructure and developing end-to-end model pipelines. Prior to Labcorp, he held technical leadership roles in the FinTech and HealthTech industries, contributing to mission-critical AI initiatives at Intuit, Oportun, Figure, and Resmed. In academia, Albuyeh lectures at UC San Diego and the University of San Diego, where he teaches courses on applied AI and data systems, emphasizing the integration of foundational theory with real-world systems.
Area(s) of Expertise
- Scalable AI Systems
- Machine Learning Platforms
- Time-Series Modeling
- Applied Deep Learning
- Generative AI
Course(s)
208R: Data Management Analytics
255R: Machine Learning Fundamentals