Backend developer (Java, Spring Boot) moving toward AI Engineering. I build and support business systems in production, and I'm now learning to integrate and evaluate AI systems with the same focus on reliability. Software Development student at UADE (Buenos Aires).

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• Investigathon 2026 — Reward Hacking (team research project, in progress). Question: do reward hacks show more environment probing than legitimate solutions, measured only from the agent's commands? As a team, we're running evals with Inspect on a local open model (Qwen3 8B via Ollama) and added per-action logging to a fork of the EvilGenie benchmark. Pilot runs are done; the analysis code is still pending.

• BiFrost — Multi-tenant POS SaaS for small businesses, focused on sales management and the financial health of the business (indicators and reports), with electronic invoicing through the ARCA API. In production. Java 17 · Spring Boot · PostgreSQL · React — Demo
• WhatsApp assistant — Customer-service assistant for a client, built with Botpress on the WhatsApp Business API. It ran in production until a WhatsApp API pricing change made it no longer viable for the client.
• ERP — Business management system. Personal project, in development; not public yet.
• Kreta — Small software studio I co-founded, building software for SMEs.

• Analyst Programmer (2025 – present): I gather requirements from banking and insurance clients and turn them into custom Java solutions.
• Level 2 support for production systems: incident analysis, debugging and fixes under SLA.
• System and database migrations (Oracle → SQL Server) for enterprise clients.

• Languages: Java, Python, SQL, TypeScript
• Backend: Spring Boot, JPA / Hibernate, REST APIs, ZK
• Databases: PostgreSQL, SQL Server, Oracle, MySQL
• Frontend: React, HTML, CSS
• Tools: Git, GitHub Actions, Docker, Postman
• AI tools I use: Claude Code (daily development workflow), Inspect and Ollama (evaluation research)

• AI Engineering: integrating models into systems that have to work in production.
• AI Safety: evaluation and reliability of AI systems. I completed the Technical AI Safety course by BlueDot Impact and keep study notes on the topics I'm reading.