Erina Karati builds applied AI systems focused on Gen AI, multi-agent architectures, and production-ready ML pipelines, backed by $10,000 in grant-funded AI work, real-world AI innovation at Supercell, and 3 years at Microsoft. At Microsoft, she worked on large, customer-facing production systems in complex enterprise environments. Her work spanned networking, system reliability, security, and debugging distributed failures at global scale, shaping how she approaches robustness and observability in AI systems today. More recently, she worked as an AI Engineer at Supercell, building modular multi-agent systems and scalable AI infrastructure for real-world use cases. She is also the co-founder of MinneDigest, an AI-powered news and podcast platform that won the AI x Journalism Hackathon and secured $10,000 in funding. She graduated with a Master’s in Computer Science from the University of Minnesota with a 4.0 GPA in May 2026, and is especially interested in combining strong engineering foundations with advanced AI to solve meaningful, real-world problems.
Erina Karati pairs three years as a Windows Networking Engineer at Microsoft with recent hands-on work building production multi-agent AI systems, including the "Project Paradox" multi-agent LLM framework she developed and demoed at Supercell. Attendees interested in agentic AI architecture, LLM-powered autonomous agents, and practical deployment under real-world latency and reliability constraints will find her work directly grounded.
Public activity researched automatically · as of Jun 2026