
Nathan Pearce
Principal Technical Strategist, Enterprise AI
Nathan is a Principal Technical Strategist for Enterprise AI at Solo.io, where he focuses on the delivery, security, and visibility of agentic AI systems. He brings two decades of experience working with web proxy technologies to solve problems across HTTP and API delivery, security, and observability — expertise he now applies exclusively to the emerging challenges of Enterprise AI infrastructure. Over the course of his career he has held positions across engineering, product, sales, and marketing, giving him a broad generalist's perspective on go-to-market strategy. He is also an accomplished keynote speaker, messaging architect, and platform integrations expert.

Michael Levan
AI Architect
Focusing on providing business value through technology, working directly with customers, providing first-class advisory, and content, Michael Levan helps organizations address needs through Agentic AI practices. He has worked across industries as an engineer, consultant, trainer, and content creator. He's a CNCF Ambassador, AAIF Ambassador, 4x published author, international speaker, and was part of the Kubernetes v1.28 and v1.31 Release Teams. Michael's approach translates technical complexity into business value, delivering actionable solutions that enhance performance, security, observability, and agentic workloads.

Sebastian Maniak
Principal Solutions Architect & Token Billionaire
Sebastian Maniak is an AI Architect at Solo.io, where he focuses on go-to-market for AI connectivity — agent gateways, LLM security, and the infrastructure that makes agentic systems deliverable, secure, and operable in the enterprise. He is also a professor of network and cybersecurity at Sheridan College, teaching Applied Network Security and Infrastructure as Code. He brings more than two decades of experience in application delivery, security, and automation — from F5, Fortinet, and HashiCorp through cloud-native service mesh and API platforms — and now applies that same delivery-and-control mindset to Enterprise AI. Over his career he has worked across architecture, consulting, product, education, and content, which gives him a broad generalist’s view of how technical platforms actually get adopted.