Claire M is a Senior Software Engineer and Applied AI Architect with ~8–10 years of experience building production-grade AI systems and scalable distributed backends for regulated enterprise environments. Currently at GEICO, she specializes in architecting multi-agent systems, hybrid RAG pipelines, and tool-calling LLM applications with focus on observability, security, and cost optimization across AWS, Azure, and Kubernetes. Claire combines hands-on engineering with leadership in AI governance, evaluation pipelines, and performance tuning, and she’s published open-source projects including a Clinical Multi-Agent RAG system and an LLM evaluation framework. Trained through Stanford’s AI professional program and an MS in Computer Science, she brings a rare blend of domain reasoning and systems rigor aimed at delivering measurable business impact in healthcare, insurance, and other risk-sensitive domains.
8 years of coding experience
4 years of employment as a software developer
Artificial Intelligence Professional Program, Artificial Intelligence Professional Program at Stanford University School of Engineering
Master of Science - MS Computer Science, Master of Science - MS Computer Science at North American University (NAU)
Computer Science, Computer Science at Makerere University
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Claire M - Senior Software Engineer - AI Solutions at GEICO