Michael Smith
CEO & Co-Founder
Michael is a veteran AI product builder who spent 12 years in engineering leadership roles at AI-first software companies, most recently as VP Engineering at an enterprise AI analytics platform. He has led teams that shipped AI features used by millions of users and navigated the full lifecycle from prototype to production scale. He holds an MS in Computer Science from Carnegie Mellon and a BS from Georgia Tech.
Sarah Kim
Chief Technology Officer
Sarah is an ML infrastructure expert who spent three years at Google Brain building large-scale model serving infrastructure before joining OpenAI, where she led the team responsible for API reliability and scaling. She holds a PhD in Machine Learning from Stanford and has published research on efficient transformer inference and model serving optimization. Her work at Sagittar focuses on building the infrastructure layer that makes AI features reliable and cost-efficient at scale.
Daniel Torres
VP Engineering
Daniel is a distributed systems expert who spent four years at Stripe building core payment processing infrastructure and three years at Databricks leading engineering teams responsible for their data lakehouse core. He specializes in building highly reliable, scalable systems that handle massive throughput with sub-millisecond latency. At Sagittar, he leads platform engineering and API infrastructure development.