I currently work as a Fullstack Engineer at Tether Education, open to new opportunities and collaborations.
I'm a fullstack engineer from Santiago, Chile, who turns ideas into shipped products — owning everything from the database schema to the last pixel of UI, and keeping things simple along the way.
I've founded and sold my own SaaS product, built data pipelines and microservices for a national examination system, and shipped frontend features for brands like Coca-Cola and Kraft Heinz. I iterate fast, with real users in the loop.
I'm deep into AI-assisted development: building agent harnesses and robust AI-driven workflows that make shipping software faster — without giving up correctness or craft.
Away from the keyboard I play in a weekly amateur football league, go kayaking, and keep a close eye on investing.
TypeScript · Java · Python · Go · SQL
React · Next.js · Tailwind CSS · shadcn/ui · Storybook
Node.js · NestJS · Spring Boot · Django · PostgreSQL · MongoDB · Prisma · REST APIs
AWS · GCP · Vercel · Docker · Git · Nx · Jest · OAuth 2.0 · Keycloak
A few songs I can recommend if you're looking for some fresh tunes :)
FROM PRODUCTION SAAS PLATFORMS TO DATA PIPELINES — EVERY BUILD HERE SOLVES A REAL-WORLD PROBLEM, END TO END.
Multi-tenant analytics platform automating co-financed discount campaigns between banks and ~140 restaurants in Chile — statement ingestion, copay calculation, approval workflows, and an AI chat that turns questions into SQL. Built solo, shipped, and sold to the client.
EdTech SaaS that turns socio-emotional card games into a measurable school program: psychometric entry/exit surveys, live classroom sessions with realtime monitoring, and before/after impact reports with risk alerts for school leadership. Live in production.
Link shortener running entirely on AWS Lambda, API Gateway, and DynamoDB, deployed with SST in one command — vanity codes, self-expiring links, atomic click counters, and per-IP rate limiting, built to serve 1M+ redirects a month for under $5.
Digitize your closet with photos and let an ML model estimate each garment's real dimensions — so online retail can surface clothes that actually fit your size, cutting the guesswork and returns of buying fashion online.
