Software Engineer | Forward Deployed Engineer | Applied AI Engineer, passionate about web accessibility. I build and ship AI products end to end — from multi-agent systems on Vertex AI to WCAG 2.1 AA accessible web frontends — with 3+ years building for production and 2 years in technical teaching. Open to remote roles.
Built for the Google Hackathon: a multi-agent pipeline (Google ADK + A2A protocol) for autonomous fraud recovery on instant payment rails (Pix and Bre-B). It traces money through mule accounts, issues camt.056 (ISO 20022) blocking recalls and produces regulation-grounded dossiers with Vertex AI Search, deployed on Vertex AI Agent Engine with Terraform and GitHub Actions.
Award-winning project at the Corferias de Colombia 5.0 Hackathon in Bogotá. A public-procurement analytics platform on SECOP II open data (datos.gov.co): Angular 18 dashboard, FastAPI backend with JWT authentication, MongoDB and Docker deployment.
Corporate website for ATHENS S.A.S., an algorithmic and AI-based trading company. Built with Astro and vanilla JavaScript/CSS, with performance and accessibility as first-class priorities.
First place winner at the CiberPaz 2025 Hackathon in Bogotá. A Chrome extension built with Vanilla JS to assist web users. Live and published on the Chrome Web Store.
I've spent 3 years building web applications in production, mainly with React, Next.js, Spring Boot and Node.js. I started as a frontend developer working with designs in Figma and Penpot, expanded into backend with REST, GraphQL and gRPC APIs, and deepened my knowledge in WCAG 2.1 AA accessibility, code quality (SonarQube, OWASP Top 10) and DevOps practices with Docker, Kubernetes and CI/CD.
In parallel I led for two years the Linux and Free Software programme at Universidad Distrital, training students and new instructors. More recently I completed an intensive Python data analysis bootcamp (Django, Flask, FastAPI, pandas) and worked as an instructor at a Python for AI bootcamp at MinTIC. Today I work as an Applied AI engineer: I combine my full-stack background with LLM integration, RAG patterns and multi-agent systems to build accessible products with solid engineering behind them.
I'm looking for a team where I can work close to the problem — forward deployed, next to the people who use what I build — bringing technical depth, clarity in architecture decisions and experience building inclusive software.
