Resume
Led QA for a healthcare staffing platform: 12 engineers across 7 countries, 8 product tracks, 700+ releases, zero revenue-impacting defects. Measured AI adoption.
About three releases a week over roughly 250 weeks. Revenue-impacting means an outage of shift claiming, clock in and out, or the app itself.
Dallas, Georgia, in the Atlanta metro. Open to remote or Atlanta hybrid.
Quality and delivery leader with 15+ years on software teams who uses AI tools every day and measures what they change, most recently at a healthcare staffing platform across web, mobile, and API. Built Sprint Intelligence, which turned raw Jira and Xray data into a read on each sprint's trajectory, used to advise every team and to bring feedback to sprint retros, and brought AI into QA through a time study and a supervised pilot.
Core competencies
- AI Impact Measurement
- AI-Assisted QA Workflows
- Agentic Pipelines
- MCP Servers
- Developer Productivity Metrics
- AI Rollout Planning (30/60/90)
- Quality Strategy
- Global Team Leadership
- Executive Reporting