Brandon Griner Brandon Griner

Resume

Brandon Griner

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.
— Brandon Griner

LinkedIn

Let’s Chat

What I Build

Engineering Portfolio#

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.

33 modules

AI ecosystem command center

A real-time Qt6 telemetry overlay plus a Discord ops bot (Ward) that spawns remote AI sessions and relays commands, monitoring agents, Docker, and MCP servers with sub-second refresh.

MCP Flow

5,500+ tests

AI-search optimization pipeline

A production end-to-end pipeline that scores content visibility across multiple LLM probe providers with DOM-aware extraction.

AIO Cleanroom · co-architected

57 skills

Self-improving agent OS

A composable skill framework with a self-improvement flywheel: agents diagnose their own failures, extract learnings, and rewrite their skill definitions.

AI Skills OS

React Native

Mobile command layer

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

GCP / BigQuery

Market-intelligence pipeline

Automated market discovery and AI-Overview benchmarking that scrapes, classifies, and LLM-scores content into multi-tab analyst reports.

SEO Factory

Monte Carlo

Sports analytics platform

A parlay-science engine modeling expected value, edge, and bust probability; simulations report 95% confidence intervals with reproducible seeds.

GridironGlow ↗

Experience#

  1. AEO Technical Supervisor

    2024 — Present

    PHM

    • Lead AI Engine Optimization (AEO) strategy across the marketing ecosystem, evolving traditional SEO into AI-era search visibility; supervise a team of six.
    • Architected and optimized enterprise data pipelines on Snowflake, Databricks, and Rivery, with PySpark transformations feeding the marketing data warehouse and SEO CI/CD workflows.
    • Launched a structured-data (JSON-LD schema) service offering built for LLM retrieval and semantic-passage matching.
    • Focus areas: UX friction, semantic passage messaging, and AI brand resonance in answer engines.

  2. Data Architect ← Senior SEO Lead ← SEO Specialist

    2019 — 2024

    Single Throw Marketing

    • Architected an omni-channel data lake on Google Cloud Platform, unifying 15+ sources (GA4, Search Console, Google Ads, Meta, LinkedIn, TikTok, CRM, CMS) into one queryable warehouse via CI/CD ELT pipelines.
    • Led DevOps (CI/CD orchestration, deployment automation, environment management) and built BI dashboards tied to client KPIs.
    • AI development: data modeling, ML insights for campaign optimization and audience segmentation, and prompt engineering; C-suite narratives for multi-channel campaigns.
    • Progressed from technical SEO into the data department, managing its workflows, recruitment, and training along the way.

  3. SEO Specialist & Data Analyst

    2017 — 2019

    Apex United Corporation

    • Ran multi-channel marketing (SEO, SEM, PPC, email, social) and built the data analytics layer (API integrations, dashboards, data-mining models) for campaign performance tracking.
    • Reported to C-level executives; promoted from IT (managing a 128-seat call-center environment) into marketing within months after automating manual reporting workflows.

  4. Computer Technician (Contract)

    2017 — 2020

    ILG Technologies

    • NJ Bar Exam site technician: hardware/software diagnosis under a sub-5-minute SLA in high-pressure environments.
    • Cross-platform expertise across Linux, macOS, and Windows.

Technical Skills#

AI & Agent Systems

  • AI Agents
  • Multi-Agent Orchestration
  • LLM Integration (Claude · Gemini · OpenAI)
  • Model Context Protocol (MCP)
  • RAG
  • Semantic Search
  • Vector Embeddings
  • Prompt Engineering
  • NLP
  • ML Models
  • GEO / AEO

Data & Analytics

  • ETL / ELT
  • Data-Lake Architecture
  • Data Warehousing
  • Data Modeling
  • BI Dashboards
  • Statistical Analysis
  • A/B Testing
  • GA4

Data Platforms & Cloud

  • Snowflake
  • Databricks
  • PySpark
  • Rivery
  • Google Cloud Platform
  • BigQuery
  • AWS
  • Supabase
  • Docker

Engineering

  • Python
  • SQL
  • TypeScript / JavaScript
  • R
  • FastAPI
  • React Native
  • PostgreSQL
  • Redis
  • REST APIs
  • CI/CD
  • DevOps
  • Git

SEO & Marketing

  • Technical SEO
  • Schema / JSON-LD
  • GTM
  • Google Search Console
  • Site-Speed Optimization
  • CRO
  • SEM / PPC
  • Content Strategy

Education#

  • M.S. Data Science & Strategic Analytics

    Stockton University

  • B.S. Computer Science

    Stockton University · Minor: Information Systems

  • A.S. Criminal Justice

    Ocean County College · Minor: Computer Science

Let’s Talk

Hiring for a role like this, or need AEO/AI-search guidance from someone who can build the systems too? I work direct or white-label, consulting and delivery.

Let’s Chat