Resume
Data scientist and AI systems architect who builds the machinery behind modern search: not a marketer who codes, but a technologist who discovered marketing. A decade across marketing technology, data engineering, and AI systems, on a computer-science and data-science foundation. Today I lead AEO strategy across a marketing ecosystem, supervise a team of six, and still ship production software across desktop, mobile, and cloud. I think in systems, not silos: I don’t just optimize for AI answer engines, I architect the data pipelines and agent automations that power them.
Data that sits unobserved is no different from data that was never collected.
What I Build
A parallel track of production-grade AI systems. Not vibe code: my AI works under clear directives, true SOPs, and pipelines run by code. Shown by shape and scale; internals on request.
A propose-then-execute control plane: AI agents draft command plans, each plan is frozen and content-hashed, I approve from my phone over TLS, and a separate executor with no LLM in it runs the plan. Red-teamed in three rounds.
wedjat + Warrant
A real-time Qt6 telemetry overlay plus a Discord ops bot (Ward) that spawns remote AI sessions and relays commands, serving agent, Docker, and MCP-server state through a 13-tool MCP server and a PostgreSQL telemetry store with sub-second refresh.
MCP Flow
A two-engineer production pipeline. I built the citation layer (OpenAI, Perplexity, and Gemini translators plus cross-provider analysis), the reliability layer (response cache, token-bucket rate limiting, circuit breaker, retry), and DOM-aware content extraction.
AIO Cleanroom
A config-driven pipeline that benchmarks Google AI Overviews, maps the domains they cite, inventories competitor pages, and LLM-scores passage-level content completeness for a few dollars of API cost per market.
SEO Factory
A composable skill library spanning research, build, audit, and strategy workflows, with an improvement loop that proposes skill edits adopted only on operator approval.
AI Skills OS
A cross-platform app for remote PC and AI-agent monitoring with one-tap restarts, plus a system-wide text-to-speech reader over a Tailscale VPN.
Crow
A full-stack NFL analytics app (Next.js, FastAPI, PostgreSQL) with a 10-season data pipeline, a composite player-scoring model, and seeded Monte Carlo draft simulations computing expected value and edge. Private; demo on request.
GridironGlow
Publicis Health Media
Reach Catalyst Group & direct clients
Single Throw Marketing
Apex United Corporation
ILG Technologies
Stockton University
Stockton University · Minor: Information Systems
Ocean County College · Minor: Computer Science
Looking for a technical marketing leader who can connect AI strategy to architecture, organizational capability, and accountable delivery? Let’s start a conversation.
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