I believe manual work
is a design failure.
Every repetitive task, every data entry, every copy-paste — it's not just inefficiency. It's untapped revenue, burned talent, and constrained growth. I'm here to fix that.
From frustration
to systems.
I started in business operations — the kind of work where you spend 6 hours a week copying data between tools, emailing the same follow-ups, and building the same reports. Every time I found myself doing the same thing twice, I asked: why isn't this automatic?
That question became an obsession. I taught myself n8n, then Zapier, then the APIs behind every tool I used. Within 12 months, I had automated everything on my plate — and started doing it for others.
Today I specialize in what I call revenue automation: building systems that don't just save time, but directly generate, protect, or accelerate revenue. The difference between a "nice-to-have automation" and a business-critical system is whether it's tied to a dollar outcome.
Every system I build starts with a business goal, not a technical solution. The tech is just the how.
My Core Stack
The principles that guide
every system I build.
Revenue before technology
I never start with a tool. I start with the business problem and the dollar cost of leaving it unsolved. The technology is chosen last, not first.
Complexity is the enemy
The best automation is one that runs silently for 3 years without maintenance. I aggressively simplify. If something can break, I remove it or add redundancy.
Errors fail loudly, never silently
Silent failures are the deadliest. Every system I build has monitoring, alerting, and retry logic. A problem you know about immediately is a problem you can fix.
Human-readable documentation
I write documentation for the person who will maintain this system 2 years from now and has never seen it before. No black boxes, ever.
Scale from day one
I architect for 10× the current load from the start. What works for 100 records must work for 100,000 without a rebuild.
Measure everything
If we can't measure it, we can't improve it. Every automation includes KPIs, a baseline, and a 90-day performance review.
How I go from
problem to production.
Revenue Audit (Free, 30 minutes)
We map your current manual processes, estimate the dollar cost of each, and identify the top 3 automation opportunities ranked by ROI. You leave with a concrete roadmap whether we work together or not.
Architecture Design (Days 1–3)
Before writing a single line, I design the complete system: trigger events, data flows, conditional logic, API connections, error paths, monitoring hooks, and rollback procedures. Delivered as a visual diagram + written spec for your approval.
Build & Stress Test (Days 4–12)
System built against the spec with full error handling, retry logic, and edge-case coverage. Stress tested with real data volumes (10× expected load). Daily progress updates via Slack.
Staging Deployment & UAT (Days 13–14)
Deployed to staging environment for your team to review. I walk you through every component, explain every decision, and document everything. Your sign-off before production.
Production Launch & Monitoring (Day 15+)
Live deployment with a monitoring dashboard showing system health, execution counts, error rates, and performance metrics. I monitor actively for the first 72 hours.
30-Day ROI Review
One month post-launch, we review the performance data against the original ROI targets. If targets are met, I document the wins and plan the next optimization. If not, I continue working at no charge.
Ready to work together?
Start with a free 30-minute revenue audit. No commitment, no pitch — just an honest assessment of where automation can move the needle for your business.