I build custom systems that eliminate repetitive manual work for small businesses — automations that run on their own, so you can focus on what actually moves the needle.
Every week there are tasks that eat hours — not because they're complex, but because no one ever automated them. That's fixable.
A 200+ member church was burning staff hours every week on the same routine: turning each service's recording into a formatted outline document, updating two websites, organizing videos, assembling announcements, and getting it all in front of the congregation. Twice a week, every week — and when the one person who knew the process was busy, things slipped. I built a system that does the whole routine on its own.
The one place a human still touches the process is the one place a human should: nothing goes out to the congregation without a person approving it. Everything else runs unattended.
What previously consumed hours of staff time each week now runs entirely on its own. It's been in production since early 2026 and hasn't missed a service. It checks itself — I look at it about once a month. The staff stopped thinking about it, which was the whole point.
This wasn't built for a tech company. It was built for a small organization with no IT department, no engineers, and no patience for tools that need babysitting — exactly the situation most small businesses are in.
If a volunteer project I built for free runs this reliably, imagine what I'd build when it's your livelihood on the line and we're aligned on outcomes.
For eight years I've built the backend systems that keep fintech and healthcare companies running — integrations processing millions of transactions, platforms handling a million API requests a day, and pipelines that turn weeks of manual work into hours.
One of the most consequential systems I built was an integration platform that eliminated a client onboarding bottleneck. Every new customer had a different file format, and mapping each one manually burned weeks of engineering time. The platform I built automated that mapping and was estimated to save around $10 million per year in lost velocity and manual labor.
I also built an internal AI tool that reads raw client specs and auto-generates configuration files — compressing a process that used to take days or weeks down to a single afternoon. That's not a demo. That's a tool engineers used every day to ship faster.
On the operations side, I cut a test suite runtime by 80% and query execution time by 60%. Boring optimizations to talk about, massive impact on the business. And I use the same AI-augmented workflow techniques on client work today — not because the problems are easier, but because the systems I build are designed better from the start.
I've spent nearly a decade building systems that keep real businesses running — fintech platforms, healthcare operations, and now custom automations for small businesses. The through-line isn't the technology. It's that every system had to work reliably, day after day, because real people depended on it.
I started using AI tools early because they let me deliver faster without cutting corners. A project that used to take weeks now takes days. That means you get a working system in your hands sooner, and we can refine it together based on how you actually use it.
I'm not an agency. I'm one person who does the work. When you hire me, you talk to the builder. No handoffs, no junior developers, no surprises.
Describe the repetitive task that's eating your time. I'll tell you honestly if it's automatable and what it would take to fix it.