Summary
Andy Curtis is an engineering leader with nine years of recent experience (and two decades of cumulative practice) building high-performance distributed systems, search internals, and ML infrastructure. He has repeatedly redesigned large-scale platforms for reliability and cost-efficiency—from re-architecting Last.fm to cut run rates dramatically to optimizing Zestimate pipelines and migrating petabyte-scale analytics to Snowflake. As a founding engineer he has integrated modern LLMs and retrieval systems into production workflows, and earlier in his career built and sold a web-scale search engine as a solo developer. Andy combines hands-on systems programming (C++, Go, PySpark) with product-minded architecture, focusing on simplification and system-level performance. Based in Buckeye Lake, Ohio, he brings a track record of shipping explainability, relevance, and automation features that meaningfully improve user and business outcomes. He’s as comfortable tuning low-latency search stacks as he is designing ML-driven retrieval and workflow automation.
9 years of coding experience