Senior technology leader with 30+ years of experience scaling QA organizations, modernizing SDLC practices, strengthening release governance, and applying automation and AI to reduce delivery risk across enterprise software teams.
I specialize in transforming quality engineering from a late-stage validation function into a strategic delivery accelerator. My work spans QA organization design, automation strategy, Jira and Atlassian governance, release readiness, SDLC process improvement, and practical AI adoption for engineering teams.
The focus is simple: reduce noise, expose risk earlier, improve engineering confidence, and help teams deliver software that is ready for customers — not just ready for handoff.
From enterprise infrastructure and release management to AI-enabled quality engineering and organizational transformation.
Early Career · Cigna · FAA
Built foundational expertise in enterprise software deployment, release management, Active Directory, VMware environments, software distribution, automation scripting, and large-scale enterprise infrastructure operations supporting mission-critical systems.
Disney · Citrix · FAA
Expanded into enterprise software testing, automation engineering, RF device validation, API testing, virtualization, WAN simulation, kiosk systems, and customer-facing application reliability across highly visible environments.
FlexShopper · Newell Brands · Chewy
Built QA organizations from the ground up, introduced Agile delivery models, implemented enterprise Atlassian ecosystems, established release governance processes, and scaled QA operations during rapid organizational growth and digital transformation initiatives.
Electronic Payments Inc · GRUBBRR
Introduced modern automation frameworks, improved CI/CD readiness, mentored engineers into QA automation roles, standardized testing methodologies, and strengthened production validation practices across payment systems and customer-facing platforms.
ProfitSolv · Current
Leading enterprise-wide quality transformation initiatives focused on SDLC standardization, release governance, AI-assisted testing, automation scalability, executive reporting, operational efficiency, and delivery confidence across multi-team software portfolios.