What I Build
The engineering layer between your strategy and your revenue.
Most growing businesses fail at the execution level, not the strategy level. The systems underneath leak revenue. I build the infrastructure that turns strategy into something a team can run.
Services
Six categories of engineering work.
The audit decides which capability matters most. Most engagements touch two or three at once. Revenue infrastructure surfaces a reporting problem. Reporting reveals a lead capture problem. The categories aren't separate products. They're capabilities the business needs to scale.
Revenue Infrastructure
The foundation everything else runs on.
The operational foundation everything else compounds on.
CRMs that match how the team sells. Payment infrastructure that closes the loop back to attribution. Onboarding that fires correctly the first time. The architecture decisions made here decide whether the business scales or stalls. I rebuild the operational backbone most growing businesses skipped on the way up.
Lead and Customer Systems
Capture demand. Convert it. Don't let it leak.
Closing the gap between marketing spend and converted revenue.
Instant response on every form. Routing that puts the right lead in front of the right person. Reactivation of pipeline that went cold. Conversion that happens before the lead loses interest. The systems that capture every dollar of demand the marketing already produced.
AI Agents and Orchestration
AI deployed where it earns its place.
AI that replaces the part of the work the team can't afford to do manually.
Most AI implementations are decoration. The work that survives earns its place by replacing a real bottleneck. Voice agents that qualify callers at scale. AI inside the platforms the team already uses. Custom workflows where AI does the part the team can't afford to do manually. Engineered with the same rigor as the rest of the system.
Reporting and Dashboards
Decisions from real numbers, not gut feel.
The capability to make decisions from real numbers.
Executives don't buy dashboards. They buy the capability to make decisions without second-guessing the data. I engineer the architecture underneath visibility. Sources that agree. Metrics that match the business model. Reports the team trusts. The decision-making layer of the business.
Custom Builds and Integrations
When the off the shelf answer doesn't fit.
When the off the shelf answer doesn't fit the business.
Some of the most valuable engineering doesn't fit a template. Field service operations that need offline capability. Family offices that need data pipelines with bank-grade authentication. Businesses that need agentic systems no platform builds. I engineer in React, Vite, n8n, Python, and the broader stack. Built when the off the shelf answer doesn't survive contact with the business.
Engineering and Reliability
The discipline that keeps systems running at volume.
The operational rigor that keeps systems running at volume.
Monitoring that surfaces failures before customers notice. Error handling that prevents silent failures. Documentation that survives team turnover. Audit trails for compliance. The discipline most automation work skips because it's invisible. I engineer it in from day one because it's what decides whether the build compounds or quietly breaks.
Start with an audit.
The audit is how we both know which capability matters most. Three days. A written diagnostic. Fixed pricing on what gets built next. The fee credits toward your first build over $3,000.