Building AI applications in production and scalable data pipelines
AI Engineer and Data Engineer with 4+ years of experience developing AI applications in production and building data pipelines and analytical solutions. Based in Belo Horizonte, MG — Brazil.
Currently pursuing a postgraduate degree in Generative AI & LLMs at PUC Minas.
- AI Engineering in production: LLMs, autonomous agents, RAG systems, API integrations, observability and continuous improvement
- Data Engineering: ETL/ELT pipelines, medallion architecture, dbt, Databricks, Snowflake
- Analytics & BI: Power BI, SQL, Python, data modeling and dashboards
- Projects delivered for AgroTech, banking (Santander, Itaú Unibanco via Aris Tecnologia) and SaaS clients
Real applications running with real users — codebases are private (client work).
Specialized AI platform for milk quality consultants: domain-specific agent with RAG context retrieval, real-time analytical dashboards, automated technical recommendations and structured data analysis.
- Stack: Python · FastAPI · PostgreSQL · Docker · OpenAI · Anthropic · Gemini · RAG · LangChain · Prompt Engineering
- Highlights: Production RAG pipeline, multi-LLM integration, observability, real-time dashboards, scalable SaaS architecture
Conversational AI agent integrated with WhatsApp: automated customer service with persistent conversation history, context-aware responses via LLMs, and continuous prompt refinement.
- Stack: Python · FastAPI · Claude API · PostgreSQL · Docker · REST APIs · Prompt Engineering
- Highlights: Persistent conversation context, LLM-powered responses, latency monitoring, observability, production-grade deployment
From 4 messy raw files to a complete analytics platform: medallion architecture (Bronze → Silver → Gold), Kimball star schema, sales & customer analytics, demand forecasting, recommender system and a live web app. R$ 2.61B in revenue analyzed.
- Stack: Python · Pandas · Parquet · Star Schema · Streamlit · Power BI
- 🚀 Live app · 📂 Repository · 📖 Case study
Complete lakehouse project: SQL, Python, Apache Hop, Docker, Airflow, dbt, Databricks, n8n and Microsoft Fabric — all compared against the same ground truth. 50,997 clients · 3M+ transactions · 8/8 KPIs validated.
- Stack: SQL · Python · dbt · Databricks · Microsoft Fabric · Power BI
- 📂 Repository · 📖 Case study
Generative AI chatbot for a bovine insemination company: RAG over domain documents combined with SQL lookups, powered by Groq LLM.
- Stack: Python · Groq · RAG · SQL · Flask
- 📂 Repository · 📖 Case study
Upload PDFs and TXT files, ask questions in natural language: embeddings + vector search with ChromaDB, served in a Streamlit UI.
- Stack: Python · Streamlit · ChromaDB · LLM · Embeddings
- 📂 Repository · 📖 Case study
| Series | Repositories |
|---|---|
| SQL | Kickstarter — 370k projects · Dimensional modeling (Kimball) · Sales analysis (CTEs + window functions) · RFM segmentation (NTILE) |
| Pandas / Analytics | Fraud detection — 1.3M transactions · Cohort retention · ABC inventory — 32k SKUs · Delivery delays — 96k orders |
| Power BI | Game Sales · ProUni · Production / OEE · HR / turnover · People Analytics |
| Machine Learning | Employability, depression & market basket (PUC Minas) |
| Data Engineering | Databricks medallion pipeline (PySpark + Delta Lake) |
📖 Full portfolio with case studies: jrdados.com.br/projetos.html
| Year | Degree | Institution |
|---|---|---|
| 2026 | Postgraduate — Generative AI & LLMs (in progress) | PUC Minas |
| 2022 | Postgraduate — Data Engineering | PUC Minas |
| 2018 | Bachelor's — Electrical Engineering | UNI BH |
| 2015 | Technician — Electrical/Electronics | UNA |
| 2010 | Bachelor's — Advertising & Marketing | Estácio de Sá |
| Year | Course | Institution |
|---|---|---|
| 2026 | Snowflake & dbt (in progress) | Arruda Data Consulting |
| 2025 | Data Engineer — 424h (in progress) | DSA |
| 2025 | n8n Automations — 50h | Jornada de Dados |
| 2025 | Analytics Engineering — 60h | Indicium |
| 2024 | AI & Data Analysis with LLMs — 160h | Uni1500 |
| 2022 | Bootcamp AWS · Azure · Data Engineering | XP Educação |
Open to opportunities in AI Engineering, Data Engineering and Analytics.
