Zhidong Qu is a Senior Software Engineer based in San Jose with 9 years of experience building large-scale ML and data infrastructure, currently focused on Agentbricks and AI Functions at Databricks Mosaic AI. As a founding engineer on both Databricks’ Vector Search and Feature Store teams, he led a rearchitecture that achieved 20x faster ingestion and 7x lower serving cost for billion-scale retrievals and merged feature-store capabilities into the Unity Catalog. His background spans production ML platforms—from schema-driven model registry work in MLflow to GraphQL-backed feature serving at Intuit—and reflects a strong blend of systems engineering and ML productization. An Apache Spark committer, he pairs rigorous academic training (MS in Computer Science, MS/BS foundations) with a pragmatic focus on performance and cost efficiency in distributed systems. Not obvious from titles: he repeatedly joins early-stage efforts and turns prototypes into platform-grade services with measurable operational gains.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Khoury College of Computer Sciences, Computer and Information Science, Master of Science - MS, Khoury College of Computer Sciences, Computer and Information Science at Northeastern University
Contributions:2 pushes, 1 branch in 1 year 3 months
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