AIOps Architect • Enterprise Ops Automation • Rapid Prototyping
I help enterprise operations teams reduce toil and tighten time-to-resolution by improving observability signal quality, incident correlation, and automation—often with pragmatic AI.
Engagements can be advisory, hands-on build support, or rapid prototyping sprints. If you’re stuck at a “tipping point” in ops maturity, this is where I help.
Correlation strategy, data contracts, enrichment, suppression, and routing patterns that reduce noise without losing coverage.
Improve signal-to-noise across metrics/logs/traces + external signals, then translate it into incident readiness.
Build or validate targeted AI features: summarization, similarity, retrieval, and structured extraction—designed for production constraints.
Less noise, faster response, better handoffs, and automation that sticks.
20+ years in enterprise IT operations and service delivery; deep experience with monitoring, observability, automation, ITSM integrations, and AI-powered workflows.
Want a tailored capability brief? Email me and I’ll reply with a one-page summary.
Lightweight publishing works best here. Start with a few “evergreen” posts, then grow it into
/writing/ when you’re ready.
MTTD is physics + tooling. MTTA is sociology. MTTR is cognition + systems design.
Ask me for the write-up →Why tickets and CMDBs break under transformation—and what a dynamic model looks like.
Request a draft →Practical patterns for enrichment, suppression, routing, and human-friendly summarization.
Talk through it →Tell me what you’re trying to accomplish, what tools you run, and what “better” means for your team.
First and foremost: husband, stepfather, and cat-dad. I find joy in music and I’m well-traveled. Professionally: enterprise ops, observability, automation, incident correlation, and pragmatic AI prototypes.
