AI Engineer | Agents · RAG · LangChain
I build and deploy production AI systems — autonomous agents, RAG and predictive pipelines that drive measurable results. From architecture to Kubernetes, every solution is engineered to scale.
My engineering starts with data and ends at deployment. Every system I design follows AI-First principles: models, pipelines and APIs are born together in a single modular architecture — with DDD, observability and production focus from day zero.
This approach has already delivered corporate platforms with integrated AI, predictive models on massive datasets and dozens of automations that eliminated daily manual processes. The outcome is always the same: measurable business impact.
Autonomous agents, RAG with custom retrieval, production LLMs and predictive ML — from prototype to deployment.
AI-First design with DDD, modular APIs, scalable pipelines and containerized deployment.
LangChain, FastAPI, Pandas, Scikit-learn, Docker — integrated stack for data, AI and backend.
Technical stack for AI engineering, data and production automation.
57 technologies
Production projects — each solving a real problem with clean architecture and measurable outcomes.
Intelligent weather assistant with RAG combining real-time INMET API data with LLMs for natural language queries.
People management portal with 8 integrated AI features using Azure OpenAI GPT-4o for HR process automation.
Intelligent ETL pipeline for structured data extraction from agricultural bulletins in PDF using LLMs.
Suite of 50+ RPA pipelines automating critical logistics, supply chain and sales reports for 5 subsidiaries.
5 projects
From academic foundation to production AI engineering — every stage with concrete deliverables.
UFSJCompleted Jul/2020
Technical foundation in algorithms, data structures, databases, networks, software engineering and systems architecture.
FIAP2025 — 2027 (in progress)
Data Science degree focused on Machine Learning, applied statistics, Big Data and Deep Learning.
Alura2025 — Present (in progress)
Specialization in AI Engineering focused on MLOps, LLMOps, RAG systems and autonomous agents.
Fictor AlimentosJul/2025 — Dec/2025
Churn predictive model with XGBoost (AUC 0.87) on 637k records. K-Means segmentation on ~12k CNPJs identifying ~R$70M in dormant revenue. Built the RPA automation suite covering 5 subsidiaries. Semantic models for Commercial and Supply Chain BI.
Fictor AlimentosJan/2026 — Present
Architected intelligent workflows with LangChain on Databricks integrating LLMs with corporate systems. Built the HR AI platform connecting Azure OpenAI GPT-4o to recruitment and people management processes. CI/CD with Azure DevOps, Docker/Kubernetes and REST APIs with FastAPI and DDD.
Certifications focused on AI, Machine Learning and engineering fundamentals.
Data Science Academy
Data Science fundamentals, statistics, Machine Learning and data pipelines for applied AI.
FGV
Classic ML algorithms: regression, classification, clustering, decision trees, ensemble methods and model validation.
FGV
Brazilian General Data Protection Law principles, information security and data privacy.
Alura
Computing fundamentals and programming logic: decomposition, pattern recognition, abstraction and algorithms.
4 certificates
Open to AI engineering roles, data projects and technical collaborations. If it makes sense to talk, send a message.
