About Me
Technology and process drive me forward and my hope for the better society
I build the infrastructure of reliability — not just the tooling, but the thinking behind how enterprises measure, scale, and defend it.
My work sits at the intersection of Observability, AIOps, and Site Reliability Engineering. Over the past decade I've developed original frameworks deployed inside Fortune 500 organizations, authored the global SRE training curriculum at the world's largest financial institution, and written Enterprise Digital Reliability for Springer Nature — because the field needed a foundational text, not another blog post.
I've been cited by researchers across AI, cybersecurity, healthcare, and fintech on four continents. I've judged innovation at the Edison Awards, evaluated research for IEEE and ACM, and coached a North Texas high school team to a national championship.
What I'm actually interested in: problems at the edge of what existing frameworks can handle. Decision contexts where the measurement methodology matters as much as the decision itself. Systems that are too complex to fix with a dashboard.
If that resonates, there's probably something worth talking about.
Research
The question that drives most of my work: How do you measure something as complex as reliability — rigorously enough to make decisions on it?
That question has produced peer-reviewed publications in IEEE, ACM, and Springer Nature, cited 120+ times across disciplines — including by researchers ranked in the world's top 0.2% of scientists. It's also produced frameworks that didn't stay in journals — they got deployed.
What I'm thinking about now:
AI-driven anomaly detection at enterprise scale — where the signal-to-noise problem is still unsolved
Reliability theory applied to systems that weren't designed with observability in mind
Cross-industry failure patterns: what healthcare supply chains and financial infrastructure actually have in common
I review for IEEE, ACM, and IGI Global. I'm interested in collaboration where the research produces something that can be tested against real infrastructure — not just cited.
Speaking
I speak to audiences who are tired of framework overviews and want to pressure-test ideas.
Recent venues include the GDS Digital Innovation Summit (where 91.6% of Fortune 500 companies participate), Atlanta Cloud Conference, and enterprise engineering summits. The conversations that follow the talk are usually more useful than the talk itself — which is the goal.
Topics I work best with:
Measuring SRE maturity when instinct is outpacing evidence
Where AIOps is genuinely useful and where it's still noise
Building reliability culture at organizations that weren't designed for it
What the next five years of enterprise observability actually looks like
I'm not a keynote speaker who disappears after the session. If your organization is wrestling with the problem behind the talk, that's a more interesting conversation.
