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Frank Gallagher, Jr.

AIOps Architect • Enterprise Ops Automation • Rapid Prototyping

Frank Gallagher, Jr.

I help enterprise operations teams reduce toil and tighten time-to-resolution by improving observability signal quality, incident correlation, and automation using commercial and open source LLMs and pragmatic agentic AI deployments.

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Las Vegas, NV US time zones friendly Enterprise-first

Experience highlights

Snapshot of hands-on experience across Fortune 500 environments spanning incident management, observability, automation, and AI-enabled operations workflows.

Incident correlation & AIOps design

Correlation strategy, data contracts, enrichment, suppression, and routing patterns that reduce noise without losing coverage.

  • Correlation heuristics + evaluation
  • Runbook + automation entry points
  • Executive-ready operating model

Observability signal quality

Improve signal-to-noise across metrics/logs/traces + external signals, then translate it into incident readiness.

  • Alert standards + taxonomy
  • Dedup, grouping, and tuning
  • Service mapping (practical)

AI prototypes for ops workflows

Delivered and evaluated targeted AI capabilities including summarization, similarity, retrieval, and structured extraction, using both commercial and open source LLM stacks.

  • NLP/NLU + IR (vector search)
  • LLM guardrails, evals, and governance
  • Agentic AI pilots with enterprise controls

Typical outcomes

Less noise, faster response, better handoffs, and automation that sticks.

↓Noise / duplicates
↓MTTA
↓Toil
↑Confidence

Enterprise monitoring, observability, and ITSM tooling

I help teams standardize toolchains, improve interoperability, and turn platform data into reliable incident response workflows.

Enterprise monitoring platforms

  • Platform strategy across mixed vendor environments
  • Alert architecture, deduplication, and routing design
  • Operational tuning for reduced noise and better coverage

Observability ecosystems

  • Metrics, logs, traces, and event model alignment
  • Service mapping and topology-aware correlation design
  • SLO/SLI support for production reliability outcomes

ITSM integration and workflow automation

  • Incident, change, and problem workflow integration patterns
  • Bidirectional enrichment across ops and service platforms
  • Automation guardrails for auditable enterprise operations

Proof and credibility

20+ years in enterprise IT operations and service delivery with a strong Fortune 500 focus; deep experience across monitoring, observability, automation, ITSM integrations, LLM-based solutions, and agentic AI workflows.

What I am known for

  • Systems thinking for incident flow (MTTD -> MTTA -> MTTR)
  • Data contracts and durable integrations
  • Automation that respects human workflow
  • Commercial + open source LLM architectures tuned for ops reality

Patents

Applied research translated into practical IP for incident intelligence and enterprise operations workflows.

  • System and Method for Root Cause Change Detection (U.S. patent application)
  • Techniques for Detecting Similar Incidents (U.S. patent application)

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Contact

Tell me what you are trying to accomplish, what tools you run, and what better means for your team.

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