Actuary. Builder. Golfer.
Managing actuary by day. App builder by night. I lead an actuarial team, co-lead an AI committee, and recently shipped a golf weather app to the App Store — because I wanted to know if it was worth going outside.
Background
I'm an actuary. The role is part technical, part managerial, part constant presenting — and I genuinely love all three parts.
High-stakes quantitative work that drives financial strategy and business decisions. The technical part is the foundation — the harder part is translating it for the people who have to act on it.
I got interested in AI as a practical tool, started applying it at work, co-lead our AI committee, and built a Copilot agent that actually changed how our team operates. That process is what made me take it seriously — and eventually build my own app.
I manage a team of actuaries and present constantly. I came up through the technical path but gravitated toward people — I'd rather be in the room explaining than behind a spreadsheet alone.
Elmhurst, Illinois. Wife, three young kids, a house I've done a lot of work on, and a single-digit handicap I'm very much working toward.
Projects
I build things when a problem annoys me enough to solve it myself. The first real one was for golf.
Find Your Window
The origin story: I wanted to know if the weekend weather was actually worth booking a round. Standard weather apps give generic summaries, but I didn't need a 10-day forecast. I needed to isolate the exact two-hour window on Saturday that was prime for golf. So I decided to just build it.
Birdcast breaks down golf playability by the hour so you can find the best time to play. It uses simple birds to summarize the conditions: a cardinal means it's perfect out, an owl means stay on the couch, and everything else has a clear playability score. Built in React Native using Apple's WeatherKit API, it lets you compare courses, save tee times, and see forecasts split by Morning, Midday, and Twilight windows. It's free. I built the whole thing myself.
"Cardinal means go. Owl means couch. Everything in between has a score. Free — tip if it saves your round."
My interest in AI is entirely practical. Beyond steering strategy on our corporate AI committee, I built a Copilot agent that changed real workflows on my team. Seeing what was possible doing that is part of what pushed me to go further and build something entirely on my own.
How I Think
I don't separate "work mode" from "regular life" mode. I approach most things the same way — find the best available option, don't overthink it, execute.
I shoot in the low-to-mid 100s and I'm obsessed with improving. I watch swing breakdowns, track my rounds, and built an app specifically to optimize when I play. I game Cobra irons and Cleveland wedges — the gear is dialed, the swing is a work in progress. The math brain and the golfer brain are closer than you'd think.
I've sourced and negotiated nearly everything in our home off Marketplace. High-quality furniture, real finds, a fraction of retail. It's a skill. You have to know what things are actually worth, move fast, and be willing to rent a box truck when needed.
I've ripped out carpet, cut out drywall, handled mold remediation, picked every paint color, sourced and negotiated a garage door replacement, and found and hired contractors for floor sanding and staining. I use Facebook groups and AI to research everything before I touch it.
I use AI constantly — not as a crutch but as the world's most patient tutor. I've used it to learn React Native, debug things I'd never seen before, design better cocktails, and understand medical coding well enough to ask better questions at work. The people who get the most out of it ask better questions.
I have a deep appreciation for things built with mechanical precision. I follow the watch world closely and keep a collection focused on classic engineering. Lately I've been using AI to dig through historical references and map out my next piece.
There's a right answer to "what should I make with what's in my bar right now." I use AI to find it. The intersection of flavor balance, ingredient availability, and effort-to-result ratio is more interesting than it sounds.