I build systems that remove friction.
Automation.
Integrations.
Data.
AI — used carefully.
If it saves time, reduces risk, or creates leverage, I’m interested.
I like the messy middle.
The space between product, engineering, data, and ops.
Where problems are cross-functional, slightly annoying, and important enough to matter.
I like turning:
- manual work into automation
- fuzzy ideas into real systems
- fragile setups into boring reliability
Customer impact comes first.
Internal leverage follows when the system is right.
I ship outcomes.
Not demos.
Not frameworks for the sake of frameworks.
Real things that scale and keep working.
I stay hands-on.
I love getting my hands dirty.
That hasn’t changed.
You’ll find me:
- designing integrations and shaping APIs
- automating the boring, breakable stuff
- modeling data, writing SQL, working in Snowflake
- debugging edge cases and brittle systems
Especially early. Especially messy. Especially high-impact.
A few things I’ve built at Tatango:
- scaled integrations into a core platform capability
- ~10× growth in accounts using integrations
- unlocked new TAM across major CRM & fundraising platforms
- donation attribution and reporting tracking $1B+ in nonprofit fundraising
- a modern data stack (Snowflake + dbt + Lightdash BI)
- automation saving hundreds of product hours per year
Most of this never shows up in release notes — but teams feel it.
My general rules:
- start with the outcome
- define “done” early
- make tradeoffs explicit
- progress beats perfection
- “we’ll clean it up later” isn’t a plan
Tools I reach for often: Tray, Zapier, n8n, Postman, Claude Code, ChatGPT
Right now, I’m focused on:
- making integrations a real platform advantage
- deeper bi-directional CRM sync
- self-serve integration setup
- standardized configuration that scales
If this ever feels aspirational instead of accurate, call it out.