I build data systems that scale
500M+ person datasets. Real-time enrichment pipelines. API integrations that power AI personalization and outbound at scale.
Looking for roles in product (data/integrations), partnerships, or founding engineering at AI GTM startups.
Me, looking all dapper.
Right Now
Obsessed with AI-assisted development
I’m in what I call the “vibe coding” era. Using Claude and Cursor, I’ve been shipping faster than ever. Building tools, experimenting with ideas, and iterating in hours instead of weeks.
The combination of AI pair programming and a low tolerance for tedious work has unlocked a new way of building. I can focus on the interesting problems while AI handles the boilerplate.
Current stack: Claude for architecture and problem-solving, Cursor for implementation.
Problems I’ve Solved
Co-founded, built, acquired
Lyne AI: Sales teams wasted hours on manual research
The Problem: Sales teams spent 80% of their time researching prospects instead of selling. Manual work that didn’t scale.
What I Built: Co-founded and built the entire platform. AI-powered personalization engine backed by a 500M+ person database with real-time enrichment pipelines. Automated what took hours into seconds.
Impact: Scaled to enterprise customers at Microsoft, GitHub, and Intercom. Company acquired.
Clay: Scaled the data foundation for their $500M Series B
What I Owned: Created the process for onboarding and prioritizing data providers. Laid the foundation for the People Dataset infrastructure that would power their platform.
Impact: 5x faster queries using Elasticsearch. Led 20+ third-party API integrations. Designed the evaluation framework for new data vendors.
Why It Matters: The right data provider strategy is what separates accurate targeting from noise. Built the systems that made reliable people data possible at scale.
Breezi: PayPal’s API required 1000+ lines of code
The Problem: I was building a subscription product and hit PayPal’s nightmare API. Hours of setup, complex auth, webhook handling. All boring work.
What I Built: A tool that generates payment links in 90 seconds. One link, global payments in 195 countries, automatic webhook handling. No company formation required.
Result: Open-sourced the integration layer. Turned a week-long integration into a one-click setup.
MedSpeak: Doctors needed practice with Spanish-speaking patients
The Problem: Volunteering as a Spanish interpreter at a medical clinic, I saw doctors struggling with communication. They needed practice but had no safe way to get it.
What I Built: An AI-powered iOS app with realistic medical interview simulations. Doctors can practice clinical conversations with virtual patients, get feedback, and build confidence before real interactions.
The Journey
Started at Preverity working with petabyte-scale healthcare data during COVID. Then co-founded Lyne AI. Built it from the ground up and sold it.
After the acquisition, I took time off to travel through South America. Trekking, exploring, and gaining perspective.
Then joined Clay in New York to help build their data infrastructure. After that, started consulting with early-stage startups on backend architecture and data strategy.
How I Think
Close the GTM loop
Data work is only done when it increases meetings, pipeline, or revenue. Build with the end goal in mind.
Remove the busywork
Don’t just make something slightly faster. Create tools that cut out entire tasks. Hours should turn into seconds. The boring parts should vanish.
Ship fast, improve faster
Done is better than perfect. The sooner something is in people’s hands, the sooner you learn. Build, test, refine. Don’t get stuck planning forever.
Data without context is useless
Sales intelligence only works when it integrates into the actual workflow. Build for how people really work, not how you think they should.
Let’s Talk
I’m exploring roles in product, partnerships, and founding engineering at AI GTM and sales intelligence companies.
If you’re scaling people data, enrichment pipelines, or AI personalization systems, let’s talk.
Chancellor’s Scholar, Vanderbilt University
B.A. Computer Science & Economics
Beyond coding: Trekking, Basketball, Spanish medical interpretation, Algorithmic trading