I am a technical professional with six years of experience evaluating complex information, designing AI-assisted workflows, and translating technical findings into clear, structured guidance. I have built and deployed production AI tools in a high-volume support environment, helping improve reliability and usefulness across thousands of cases.
My background combines AI response evaluation, prompt engineering, technical writing, and quality assurance. I focus on structured reasoning, fact verification, and human-in-the-loop review to ensure outputs are accurate, practical, and aligned to the needs of both technical and non-technical audiences.
At The Predictive Index, I have worked on tools such as a Case Intelligence Engine and a Team Knowledge Assistant, where I designed multi-source prompts, evaluated model outputs, and refined workflows to reduce time spent gathering context while preserving specialist judgment. I also developed retrieval strategies, terminology mapping, and audience-specific response formats.
In addition to AI work, I have built onboarding curricula, troubleshooting documentation, SOPs, and knowledge base resources across more than 15 internal systems. I regularly translate complex technical findings from bug investigations and integration failures into clear written communications for engineering stakeholders, partner teams, and clients.
My professional experience includes progressive leadership roles in technical escalations, including Senior Manager, Manager, Team Lead, and specialist positions. I have led cross-functional incident response, data reconciliation projects, readiness assessments, and escalation triage frameworks while maintaining strong customer satisfaction and operational performance.
I am currently enrolled in an Associate in Engineering program at Durham Technical Community College. I am based in Roxboro, North Carolina, and I bring a strong blend of analytical thinking, documentation discipline, and AI workflow design to technical operations and evaluation-focused roles.