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About

The person your marketing team calls when the stack breaks

I've spent 5+ years fixing the problems that fall between marketing and data. Disconnected CRMs. Attribution that doesn't add up. AI projects that never make it out of the lab. I build the systems that make your marketing actually work—and prove it with data. I also manage the infrastructure underneath it all: cloud, VMs, DNS, networking. One point of contact, the whole stack.

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How I think about your stack

Every system I build follows one rule: data in, intelligence out, revenue up. Here's what that looks like in practice.

INPUT

Website App POS Ads

Every touchpoint feeds data into one system

CORE: CDP / Data Warehouse

Identity resolution, segmentation, audiences

One customer view. No duplicates. Clean data.

ACTIVATION

CRM Email/SMS Paid Media On-site

Personalized experiences at every channel

AI ORCHESTRATION

Predictive scoring, content gen, journey optimization, reporting

AI makes every decision smarter, every campaign faster

AI that moves metrics, not just headlines

Most "AI transformation" projects end with a chatbot nobody uses. I take a different approach: wire intelligence into the tools your team already uses so it changes outcomes they already care about.

  • Data enrichment: AI cleans and tags CRM records automatically—your team stops doing manual data entry
  • Journey automation: Predict churn before it happens and trigger retention flows automatically—no human intervention needed
  • Creative ops: Generate ad variants and landing copy from product feeds in seconds, not days—your team ships 5x more campaigns
  • Plain-English insights: Ask your warehouse questions in plain English and get answers in charts—no SQL required
function orchestrateJourney(user) {
  const intent = ai.predictIntent(user.history);
  const offer = ai.generateOffer(user.segment);
  if(intent.risk > 0.7) {
    crm.trigger("winback", offer);
  }
  analytics.log("ai_decision", {user, intent});
}

Infrastructure, not just integrations

Most martech consultants hand off at the API layer. I don't. I manage the cloud infrastructure your stack runs on—VMs, networking, DNS, containers, and deployments. That means one point of contact instead of three vendors pointing fingers when something breaks.

  • Cloud management: AWS, GCP, Azure—provisioning, cost optimization, and monitoring
  • Infrastructure as code: Terraform, Docker, and CI/CD pipelines so environments are reproducible
  • DNS & networking: Domains, SSL, VPCs, and firewall rules—no "talk to your IT team" runaround
  • Security & uptime: Backups, failover, and alerting before your customers notice

How I work

Unix philosophy

Small tools that do one thing well, composed into pipelines. No monolithic platforms that lock you in. If a vendor goes down, your whole stack shouldn't stop.

Open source first

For businesses still finding their feet, paid tools are often overkill. I reach for open source wherever it makes sense—PostHog over Mixpanel, Rudderstack over Segment, Flowise over custom LLM builds. Save your budget for what actually moves the needle.

No vendor lock-in

Every system I build uses tools you can self-host, swap out, or walk away from. Your data, your infrastructure, your choice.

Let's build something that works

Every stack is different. Tell me what's broken and I'll tell you if I can help—no obligation, no sales pitch.

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