I build and run production AI agent systems — and I've spent 15 years inside fintech and personal finance, so I know what these tools are actually for.
Marketing leader who turns AI capability into measurable adoption. I set the quality bar that let AI content scale to 113 of 113 pages scoring ≥95, built agents that research a topic and publish finished YouTube videos end to end, and wired custom MCP connectors that feed live financial and web-analytics data straight into those agents. An MBA in finance and a decade of FP&A sit behind the build, so I can defend the ROI, not just the demo.
Built a content-scoring framework (AIOSEO/Clearscope-style) that defined "good" before anything shipped and took a full site to 113 of 113 pages scoring ≥95 — governance that keeps brand and quality intact when AI generates at volume.
Built research-and-generation agents that take a topic and publish finished YouTube videos with no manual steps — human-authentic audio plus AI-selected video clips. Workflow redesign in practice, not theory.
Built custom MCP connectors that pipe live financial and website-analytics data into agents, so AI works from real numbers instead of guesses — the "how do AI tools connect to our stack" problem every team has to solve.
Operate multi-agent orchestration on Claude, a ~19,000-entry memory layer, and a 13-integration assistant over MCP — daily-use systems, not experiments — and cut model spend by routing routine work to local models without losing quality.
13+ years translating complex finance and tech for mass audiences; keynote speaker at CardCon's Financial Marketing Forum, FinCon breakout + panel presenter, and an Ai4 (AI conference) attendee since 2021 — the skill that turns capability into team fluency.
MBA, Finance — University of Denver, Daniels College of Business (GPA 3.74)
BSBA, Finance — University of Colorado Boulder, Leeds School of Business; Certificate in International Business
Certification: Certified Financial Education Instructor (CFEI)
AI & transformation: Claude / Anthropic, agent frameworks, custom MCP connectors, multi-agent orchestration, RAG / vector memory, LLM cost optimization, AI content governance, workflow redesign, adoption metrics. Marketing & data: content & demand strategy, SEO / GEO (AI search), martech (MAP/CRM/analytics), Python, SQL, executive dashboards & ROI.