GTM AI Engineering • Data Intelligence • Web3 & Fintech
Learning by doing. Mostly doing.
Seven years in Web3 business development. Now I build AI-assisted tools that find, collect, and analyze data to spot growth opportunities.
I’m at my best in BD and partnerships, building products, and making sense of data.
I bring the business problem. AI helps with the syntax.
Most of my tools follow one loop
Find data → structure it → spot signals and patterns → analyze them → turn the insight into something useful.
Projects
Some I use at work. Some I built to learn.
OSINT lead intelligence · Nethermind
Uses OSINT (open-source intelligence) on public GitHub activity to find crypto projects that may need an audit soon. It scores the signals, checks who audited them before, and shows which contributors connect them to existing clients.
Started in n8n to test the idea, then rebuilt in Python once it proved useful. Cold-outreach reply rate went from 13% to 21%.
Market mapping
A dataset of 1,100+ Latin American fintech companies, enriched across 24 fields, with ~90% website and ~78% news coverage.
Used for market sizing, segmentation, and deciding which accounts to prioritize.
Relationship intelligence In design
A lot of Web3 relationships live in Telegram groups. This bot watches those groups and flags when a client or partner may need a follow-up.
The goal is fewer forgotten follow-ups, with no extra CRM to update by hand.
Infrastructure
A small Ubuntu server I can reach from anywhere through Tailscale. It runs Claude-powered tasks on a schedule and sends the results to Telegram.
Where my research and monitoring workflows run.
Shipped product Real users
A Telegram bot that keeps an agreement between two people visible until both confirm it’s done.
What I measure: how many agreements get completed instead of forgotten.
Real-time monitoring
Checks Colombia’s geological service for new earthquakes, uses HTTP caching to avoid repeat requests, and measures how fast the alert arrives.
Not about sales, but it uses the same loop as my GTM tools.
How I build
I use the scientific method at work. I use several AI models to check my reasoning, and I read the code before I trust it.
Describe the business problem and a guess I can test.
The smallest version that tests it, built with an LLM or a tool like n8n.
If the results hold, I build it properly in Python. If not, I iterate.
Experience
Business development and partnerships in security, DeFi, and financial inclusion.
Product & Business Development — AI and Web3 Security
Project Manager, DeFi Product
GTM and partnerships for Nudo.app, a DeFi credit product for small businesses in Latin America.
Pilot results with Mercy Corps Ventures →Ecosystem Lead, Partnerships & Growth
Ecosystem growth across 10+ countries: 50+ partnerships, 600+ startups mapped, and support for stablecoin and DeFi use cases.
I studied psychology. It still shapes how I think about trust, incentives, and why people adopt things.