Summary
Dan Zaratsian is an AI/ML architect and tech lead with a decade of experience designing and deploying AI-powered systems for gaming and real-time applications. At Google Cloud he leads solutions spanning matchmaking, toxicity detection, game server orchestration with Agones, and engine integrations for Unreal, Unity, and Niantic Lightship, earning a reputation for turning research-grade models into production-ready services. His background includes building ML + GPU inference pipelines in Kubernetes at Coinbase, leading streaming analytics at Hortonworks, and teaching cloud machine learning as an adjunct at NC State’s Institute for Advanced Analytics. An electrical engineer by training, Dan brings rare cross-domain fluency—from aircraft sensor networks and biotech automation to web3 gaming—enabling pragmatic architectures that bridge game developers, ops teams, and ML researchers.
10 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Advanced Analytics & ML (NC State University), Master of Science - MS, Advanced Analytics & ML (NC State University) at Institute for Advanced Analytics
Bachelor of Science, Electrical Engineering, Bachelor of Science, Electrical Engineering at The University of Akron