Applied AI Engineering

From complex data to intelligent systems

I build AI solutions that survive production. POCs, MVPs, intelligent agents, and data products — engineered with rigor, delivered ready to scale.

AI engineering that works

Not just prototypes that demo well — systems built with defensive architecture, ready for the chaos of real-world data.

POCs and MVPs

Rapid validation of AI concepts with production-quality foundations. No throwaway code — every prototype is built to evolve.

Intelligent agents

Autonomous systems that execute multi-step workflows with state machines, error recovery, and observability.

LLM applications

RAG systems, chat interfaces, and AI-powered features with proper evaluation and anti-hallucination patterns.

Data products

Structured datasets, APIs, and analytics platforms. From raw chaos to decision-ready systems.

Projects that prove the philosophy

Real systems, not hypotheticals. Each project embodies defensive architecture and production-first thinking.

AI Engineering

AI Job Hunting Agent

Intelligent automation for job search: multi-source discovery, LLM-powered matching, and resume generation with anti-hallucination validation.

State machines LLM Automation
Data Product

AIRA Agro

Structured Brazilian agricultural data platform. ZARC climate risk, production metrics, and export data — unified, documented, queryable.

DaaS Public data API

Built on rigor

I'm a Data Scientist and AI Engineer based in Brazil, focused on building intelligent systems that actually work in production.

My background spans machine learning, NLP, forecasting, and data engineering — but what defines my work is a commitment to defensive architecture: systems that fail gracefully, recover automatically, and produce auditable results.

Every project at AIRA Labs follows the same principle: write code that survives, not merely functions.

Technical philosophy

  • Intelligence without measurement is illusion
  • Speed without architecture creates debt
  • Models without evaluation are opinion
  • Production without observability is risk

Let's build something reliable

Have a project that needs AI engineering with rigor? I'm available for consulting, prototyping, and long-term collaboration.