Data Engineer & RPA Developer currently interning at Cyrela — one of Brazil's largest real estate companies — where I build intelligent automation pipelines and end-to-end data solutions that support executive decision-making.
With a hands-on approach, I work across the full data stack: from API integrations and legacy system connectors to Lakehouse architecture and executive-level dashboards in Power BI.
- 🔭 Currently working on: ETL pipelines in Databricks + dbt and RPA automations integrating SAP, Microsoft CRM, Pipefy & Outlook
- 🌱 Learning: Analytics Engineering, MLOps, LLM Fine-Tuning & Agents
- 🤖 Background in: Computer Vision, Reinforcement Learning, Generative AI evaluation (RLHF)
- 🏆 3x Oracle Certified | Azure AZ-900 | GitHub Foundations | 4x Databricks Certified
- 🌍 Fluent English | Based in Rio de Janeiro, Brazil
- 🎯 Open to: Data Engineering, Analytics Engineering, RPA & BI roles
(Jun. 2025 – Present)
- RPA & Python Automation: Developed scripts that reduced critical back-office process time by 87% (from 15 min to 2 min per operation), integrating Pipefy, Microsoft CRM, SAP, Outlook and Excel via APIs.
- Data Engineering: Built data catalogs and migrated tables into a Lakehouse architecture on Databricks using dbt and SQL, enabling scalable, governed data consumption.
- Business Intelligence: Designed and maintained strategic Power BI dashboards tracking essential company KPIs, used by leadership across Commercial, Legal and Post-Sales departments.
(Dec. 2024 – May 2025)
- Worked directly on the quality improvement of Generative AI systems through Human-in-the-Loop (RLHF) evaluation.
- Designed complex prompt-based test scenarios and critically evaluated LLM outputs for quality, safety (alignment), and adherence to global content guidelines.
Sistema de visão computacional para detecção de telefones em webcam em tempo real com classificação automática de situações de risco (SAFE / THREAT). Pipeline ponta a ponta com treinamento YOLOv8n, filtro anti-flicker e exportação ONNX.
PythonYOLOv8OpenCVONNXView Project
Aplicação Spring Boot para compra/venda de moedas com deploy em nuvem, pipeline CI/CD via GitHub Actions e containerização com Docker. Inclui relatórios analíticos integrados ao Power BI.
JavaSpring BootDockerGitHub ActionsAWS/CloudPower BIView Project
Estudo comparativo de 6 algoritmos de RL (Monte Carlo, SARSA, Q-Learning, DQN) com análise estatística de convergência e modelagem formal de MDP. Acompanhado de artigo científico documentando a metodologia.
PythonPyTorchGymnasiumReinforcement LearningView Project
Classificador de texto com RNN (LSTM/GRU) sobre o dataset UCI SMS Spam. Pipeline completo de NLP com limpeza, tokenização e embedding. Acurácia de 98,1%.
PythonTensorFlowNLTKNLPDeep LearningView Project
Modelo de visão computacional com Transfer Learning (EfficientNetB0) para classificação de condições climáticas com data augmentation e fine-tuning seletivo.
PythonTensorFlowKerasComputer VisionEfficientNetView Project
API REST com arquitetura em camadas e CRUD completo, utilizando o padrão Data Mapping para desacoplamento entre camadas técnica e de negócio.
Node.jsExpressMongoDBREST APIBackendView Project
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Academic Background:
- 🏛️ IBMEC | B.Sc. in Data Science & Artificial Intelligence (2023 – Present)
- 🗣️ BRASAS English School | Fluent English (2013 – 2020)
Industry Certifications:
- 🔹 Databricks: AI Agent Fundamentals | Data Governance Fundamentals | Databricks Fundamentals | Prompt Engineering
- 🔹 Microsoft: Azure Fundamentals (AZ-900) | GitHub Foundations
- 🔹 Oracle: OCI Certified Foundations Associate | OCI Certified AI Foundations Associate | Java Foundations
- 🔹 AWS: AWS Educate Machine Learning Foundations
Recognition:
- 🏅 Medal of Academic Merit | International Kangaroo Mathematics Olympiad (2021)
- 🤝 Volunteer Work | Support for homeless individuals and underprivileged children, Parish N.S. Copacabana (2023)
Open to new opportunities — let's build something great together.



