Bio

Phillip Hoang is an AI and Data Science leader with 20+ years of experience in real-time embedded systems, integrating technical depth with communication as an author and storyteller. He leads AI and data initiatives, drawing on a Master of Information and Data Science from UC Berkeley, a Master of Science in Computer Software Engineering, an MBA, and dual BS degrees in Computer Science and Electrical Engineering. His work focuses on deploying AI agents and large language models, building Python/ML pipelines from edge devices to the cloud, and translating advanced analytics into insights for engineering, finance, and real estate domains.

Contact

  • Work
    klawbi@stanford.edu
    University - Student Department: Stanford Center for Professional Development Position: Graduate