Principal Cloud Architect specializing in Observability, Cloud-Native Reliability, and AI-Driven Engineering.

As a Principal Cloud Architect, I help organizations navigate the complexity of cloud-native systems and multi-cloud infrastructure.

My work focuses on transforming raw telemetry into actionable insights, enabling teams to design and operate systems that are inherently reliable.

By implementing modern observability practices and AIOps, I empower businesses to identify issues proactively—improving system performance and user experience before impact occurs.

Beyond architecture, I am a passionate author, speaker, and advocate for women in STEM, frequently mentoring students and early-career engineers as they navigate the engineering profession. I actively explore the intersection of platform engineering and the evolving role of generative AI in cloud operations.

Latest Insights

An End-to-End Cloud Native Observability Framework – The New Stack

The Two-Way Relationship Between AI and Observability APMDigest

AI-Driven Log Analytics for Custom Applications in OCI – Oracle Blogs

Five Stages of Observability Maturity – CIO.com

Observability Predictions for 2026 – APMDigest

I am always open to discussing new opportunities, speaking engagements, the future of cloud-native observability or mentorship for aspiring engineers.

Let’s connect!