Summary
Richie Goulazian is a software engineer with eight years of experience building ML inference infrastructure, distributed compute, and full-stack systems across Silicon Valley startups and leading tech firms. A Pitt CS alum, he’s worked on production-grade tooling at Applied Intuition and shipped intern and research projects at Google, Two Sigma, Aurora, and Semiotic Labs, including transformer-based query-cost prediction for The Graph Protocol. Now at Anthropic, he brings a strong background in scalable systems, real-time cluster monitoring, and DeFi smart order routing. Colleagues know him for rapidly turning research prototypes into robust, deployable services and for a penchant for tackling infrastructure bottlenecks that sit at the intersection of ML and distributed systems.
8 years of coding experience
4 years of employment as a software developer
Council Rock High School North
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Pittsburgh