About
A results-driven Senior Cloud Solutions Architect and Technical Account Manager with over 20 years of experience in pre-sales, customer success, and project management. Expert in designing and implementing high-availability cloud, DevOps, and AI/ML solutions for enterprise clients on AWS and Google Cloud. A strategic advisor known for building strong client relationships, driving cloud adoption, and exceeding business targets.
Sessions
AI‑First Enterprise Architecture: Turning Pilots into Production
What you will learn:
• How to recognize why your AI pilots are not scaling and which architectural gaps are to blame. • A concrete reference model for an AI platform that can serve many use cases across the enterprise. • Patterns for integrating AI services with your existing microservices, data lake/lakehouse, and identity/security stack. • Practical SLOs and observability signals for monitoring AI systems in production (quality, drift, and cost). • A staged roadmap to evolve from ad‑hoc AI projects to a governed, reusable AI platform.
From Librarian to SRE: Architecting Multi-Agent Systems for Autonomous Cloud Remediation
What you will learn:
-The Shift: Learn to transition your AI strategy from a "Knowledge Librarian" (RAG) to a "Digital SRE" (Agentic). -The Blueprint: A modular architecture for a Multi-Agent System specialized for cloud infrastructure. -Safety Protocols: Practical methods for implementing "Guardrails" and "Supervisor" agents to ensure autonomous actions remain safe. -Optimization: Techniques for managing massive log data and maintaining state across complex, multi-step agent operations.