Technology Operations
Distributed enterprise support, service reliability, incident management, escalations, documentation, operational standards, vendor coordination, and field technology.
Professional
My work spans enterprise infrastructure, architecture, automation, connected systems, technical operations, security, and the practical work of making complex environments more reliable.
Distributed enterprise support, service reliability, incident management, escalations, documentation, operational standards, vendor coordination, and field technology.
Networks, Microsoft 365, hybrid identity, cloud and on-premises systems, integration design, deployment planning, and architecture that accounts for how systems are actually operated.
PowerShell, Python, REST APIs, workflow automation, containers, CI/CD, Supabase, Make, and operational tooling designed to remove repetitive work and improve consistency.
Connected-device lifecycle, firmware and configuration concerns, field connectivity, BLE/UHF concepts, hardware testing, edge systems, and vendor/field handoff.
Email security, identity, risk reduction, operational controls, root-cause analysis, incident thinking, and practical security improvements tied to real environments.
LLM-assisted analysis, documentation, decision support, workflow automation, experimentation, provenance, governance, and human-in-the-loop controls designed for real operating environments.
Cross-functional problem solving, translating between business and technical teams, prioritization, documentation, mentoring, vendor management, and executive communication.
AI-Enabled Operations
I focus on bringing emerging AI capabilities into real operational environments only where they can be tested, measured, governed, and trusted. That means treating accuracy, provenance, human oversight, observability, failure handling, security, and auditability as part of the architecture from the beginning.
Explore the Trusted AI Operations Framework →Selected Impact
What I tend to solve
The recurring pattern in my work is not a specific product. It is an operating problem: too many moving parts, weak documentation, inconsistent ownership, recurring failures, or technology that has grown faster than the processes around it. I tend to be most useful where technical depth and operational clarity both matter. Increasingly, that includes using AI as an operational capability - for analysis, documentation, decision support, workflow orchestration, and experimentation - while keeping evidence, governance, human review, and failure handling in the design.