Evidence
The same discipline, applied at work
At Veracode I led product on an AI-powered remediation engine — concept to enterprise deployment on AWS Bedrock — and defined its evaluation system: fix correctness, regression safety, false-positive rate.
10x
Improvement in AI fix success rate, launch baseline to steady state
11x
Growth in monthly active users of AI-assisted remediation
5x
Growth in enterprise accounts with sustained active usage
~30%
ML experimentation operating cost cut via re-architecture
9+
Teams aligned across product, ML, security research, and platform
96%
Committed story points delivered, sustained across two Scrum teams
Relative figures from internal product dashboards and Jira, Apr 2024 – Jul 2026. Full context and methodology available on request.