Forward-deployed AI engineer · Madrid
I'm Pablo. I join your team and get AI working in production.
A forward-deployed engineer (FDE) works inside your company instead of handing over a slide deck. I learn how the work gets done today, pick the tasks where AI pays off, and build them into your systems with evals that show they work.
My day job is building multi-agent systems at Jupiter (opens in new tab). Before that I wrote no-std Rust for liquid staking at Sanctum and Solana observability tooling at Ironforge.
How I can help
Review
2 weeks, fixed fee
I read your system and hand you ranked findings and a plan.
Build
4 to 8 weeks, fixed fee
I embed with your team and ship one defined outcome, tested and handed over.
Advisory
monthly, agreed scope, cancel anytime
A weekly call and an async channel for architecture and build-or-not calls.
Writing
I write up what I learn as I work: 31 notes on agents, evals, Solana and the web. They're the best way to see how I think before we talk.
Where I'd start
- Solana SVM and TPU
How a transaction actually travels through a validator. I reread this before debugging landing rates.
- Transaction Fee Mechanisms - Notes
Fee markets across chains, written while trying to explain priority fees to myself.
- The Two Reacts
The clearest mental model I've found for server and client components.
Latest
Where I've worked
- JupiterAI Engineer2026
- Sanctum LabsSenior Software Engineer2025
- IronforgeSenior Software Engineer2024
- KomonSenior Software Engineer2022
Things I've made
- The simulation that said no · Solana
- Averages you can't add · Data
- A prompt change is a deploy · AI