AI Engineer · Data Engineer
Building data pipelines, AI agents, and ML-driven systems that generate measurable business impact.
Currently at Méliuz, working with AI automation and data engineering in production.
| Metric | Result | Context |
|---|---|---|
| 💰 +R$ 2,000,000 GMV | in 6 months | Recommendation system built with Word2Vec + similarity models |
| ⚡ 93% faster time-to-insight | 14 days → 24h | Automated data pipelines with Python + BigQuery |
| 🤖 80% reduction in manual work | — | Data automation via APIs and Cloud Functions |
Interface that translates NLP queries into SQL and combines them with semantic search using embeddings for fast and intuitive inventory exploration.
End-to-end MLOps pipeline for training, selecting, and serving ML models, with automated evaluation and API deployment.
Backend integrating REST, gRPC, and pub/sub messaging for scalable data exchange between multiple services.
- 🥉 3rd Place — UFC Hackathon (intelligent chatbot MVP)
- 🛡️ PwC Hackathon — Generative AI phishing detector
- ☁️ Google Cloud Fundamentals — ver credencial
- 🎓 How Transformer LLMs Work — DeepLearning.AI
- 📊 SQL for Data Analysis & Python Master — certified
- 🔧 Working on AI automation and data engineering at Méliuz
- 🧠 Building systems that connect data engineering + analytics + AI agents
- 🌱 Deepening expertise in LangGraph, RAG architectures, and production LLM systems
- 💼 Open to opportunities in AI Engineering, Data Engineering, and Analytics
"In God we trust; all others must bring data." — W. Edwards Deming