I bring enterprise cloud, operations, and AI observability expertise together to help teams turn complex platforms into systems they can trust, explain, and improve.
I'm a Sr. Worldwide Specialist Solutions Architect at AWS supporting a $4.2B Cloud Operations business, specializing in LLM & Agentic AI Observability. I partner with Fortune 500 and public-sector customers to architect resilient cloud solutions and drive global Go-to-Market (GTM) strategies for newly released AWS features.
I've influenced 3 major CloudWatch product launches (GenAI Observability, Infrastructure GPU Monitoring, and Application Performance Monitoring) by channeling insights from enterprise engagements into AWS product teams. My technical content reaches practitioners at scale through 10+ blog posts (65,000+ views) and conference sessions at AWS re:Invent and Summits, reaching 5,000+ practitioners in-person.
Beyond customer work, I support the worldwide AWS Technical Field Community of 1,500+ customer-facing technical professionals with field enablement modules, reference architectures, and best practices guides. I contribute to flagship learning assets including the One Observability Workshop (60,000+ users, 5M+ page views) and the AWS Observability Best Practices Guide (250,000+ annual views).
Recognized with 5 AWS awards including the 2025 Annual Award for Customer Obsession, AWSome Builder, Wise Guru, and Knowledge Champ for technical contributions, mentoring, and thought leadership.
End-to-end monitoring for generative AI and agentic workloads using CloudWatch, OpenTelemetry, Bedrock AgentCore, and Strands Agent SDK.
Designing scalable, resilient operational frameworks for Fortune 500 enterprise infrastructure.
Partnering with Product and Business Development teams to define technical components of GTM strategies for newly released AWS features.
Streamlining incident response workflows with Systems Manager, automated remediation, and AIOps-powered MCP servers.
Sharing insights on AI observability and cloud operations at major industry events
Featured
Live coding session on Amazon CloudWatch AI observability. Build agentic applications using Amazon Bedrock AgentCore and Amazon EKS with Strands Agent SDK, automatically instrumented through AWS Distro for OpenTelemetry (ADOT).
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Presented a talk on unified observability and eval-driven development for generative AI agents with Amazon CloudWatch.
Hands-on session demonstrating how to streamline incident response workflows using AWS Systems Manager capabilities.
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Hands-on live coding: Build AI agents with contextual telemetry, seamless auto-instrumentation with ADOT SDK, real-time visualization, and troubleshooting patterns across Bedrock AgentCore, EKS, ECS, and EC2.
Learn hands-on from basic infrastructure monitoring to APM and advanced digital experience monitoring using CloudWatch.
Learn how Amazon CloudWatch enables AI observability and troubleshooting across Bedrock AgentCore, EC2, EKS, and ECS with Strands Agent SDK.
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Spotlight on CloudWatch Logs centralization features that simplify multi-account and multi-region log management.
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Partner enablement session on the latest AWS Systems Manager capabilities for scaling IT operations.
Deep dives into AI observability, cloud operations, and systems management on the AWS blog
Comprehensive overview of the most significant AWS Cloud Operations announcements in 2025.
Read Article →Learn how to streamline multi-account and multi-region log management with CloudWatch Logs centralization.
Read Article →Best practices for optimizing metrics ingestion and reducing costs with Amazon Managed Service for Prometheus.
Read Article →Discover how MCP servers enhance AIOps capabilities with CloudWatch and Application Signals integration.
Read Article →Introduction to CloudWatch's new generative AI observability capabilities for monitoring AI workloads.
Read Article →Comprehensive guide to monitoring and observing agentic AI workloads with CloudWatch agent.
Read Article →Learn how to automate patching reports across your AWS Organization with email and Slack integration.
Read Article →Discover how Amazon Bedrock's automated recommendations simplify Systems Manager patching troubleshooting.
Read Article →Learn how to extend AWS Systems Manager capabilities to manage multicloud environments using Lambda.
Read Article →Streamline incident management by automating report generation from Systems Manager Incident Manager.
Read Article →Workshops, best practices guides, and code samples I contribute to
End-to-end AWS observability from infrastructure monitoring to AI observability.
Manage multicloud environments using AWS Systems Manager.
Comprehensive best practices for metrics, logs, traces, and AI workload monitoring.
Reference architectures and operational patterns for cloud operations at scale.
IaC, sample apps, and instrumentation examples for AWS observability.
Observe agentic AI workloads using Amazon CloudWatch.
GenAI observability capabilities with Amazon CloudWatch.
Advanced data protection patterns for AI agent observability.
Advanced certification demonstrating expertise in designing technical strategies and solutions across multiple platforms and providers.
Foundational certification in AI/ML and generative AI, covering core concepts, agentic AI fundamentals, and responsible AI development practices.
Professional certification in data science fundamentals, including data analysis, machine learning, and statistical modeling.
Recognized for Customer Obsession, transforming AWS observability enablement, authoring high-impact technical content, delivering flagship conference sessions, and building tooling that accelerated enterprise adoption of AI observability at scale.
Recognized for creating a comprehensive playbook on AWS Systems Manager Patch Policy, providing insights into feature internals and implementation strategies.
Recognized for impactful mentoring and training initiatives that enhance team knowledge, skills, and overall performance.
Honored for exceptional curiosity and commitment to continuous improvement, elevating team expertise and enhancing customer experience.
Interested in discussing cloud operations, AI observability, or speaking opportunities?