Summary
Hoang Phan is a distributed systems and real-time ML engineer with 9 years of experience building core streaming, storage, and model-serving infrastructure at startups and large tech firms. He co-founded beava and was an early engineer at Fennel (acquired by Databricks), later focusing on content-generation infrastructure at Viggle and ML infrastructure at Faire. His background includes production-scale graph and ETL pipelines at Google and hands-on systems work in C++, Scala, and Python, bridging low-level performance engineering with ML data platforms. Comfortable across the stack, he has repeatedly shipped feature stores, model stores, and real-time serving systems that turn research into product-ready pipelines. Based in Waterloo, he combines startup grit with rigorous engineering practices honed at elite internships and research projects, and often surfaces unexpected efficiency gains when optimizing end-to-end ML workflows.
9 years of coding experience
4 years of employment as a software developer
High School Computer Science, High School Computer Science at VNU-HCM High School for the Gifted
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Waterloo