I’m an economist-turned-data-professional with a soft spot for macro signals, efficient pipelines, and making cool things with LLMs. Always curious about tech, data, and dogs.
I work across the full stack of data science and engineering: modeling, infrastructure, APIs, MLOps, LLM systems, and quantitative analysis.
- Data Science & Modeling · Develop and productionize time-series (ARIMA, VaR), tree-based, and econometric models for CPI forecasts, credit risk, and trading signals.
- Data Engineering · Build and orchestrate ETL on Airflow + Kubernetes.
- ML in Production · Deploy credit-risk and anomaly-detection models (FastAPI, Docker).
- LLMs & AI Agents · RAG pipelines, LangChain + vector DBs, MCP Servers, Context Engineering.
- Marketing AI & Analytics · Architected end-to-end multi-platform integrations (TikTok, Google, Meta Ads) for complex AI-driven data intelligence.
- Programming: Python, R, MongoDB, SQL, JavaScript, TypeScript, MCP (Model Context Protocol), Pydantic AI
- Data Viz & Analysis: Plotly, Matplotlib, Tableau, Excel, Bloomberg
- Cloud & Automation: AWS, Redis, Apache Airflow, GitHub Actions, GCP
- ML & AI: scikit-learn, XGBoost, LightGBM, Econometrics, LLMs, NLP, MCP Servers, Context Engineering
- Fuse — AI Engineer (AI Data Strategy for Marketers)
- GYRA+ — Senior Data Scientist
- JGP Asset Management — Macro Data Scientist
- Órama — Data Analytics
- IBM — Data Operations
- MIT — Data Science & Statistics MicroMasters (Expected 2026)
- Fundação Getúlio Vargas (EPGE) — B.Sc. Economics (2017–2021)
- 🏆 Google Cloud AI Hackathon (Dec 2025) – Winner (MedAnnotator) | Code
- 🏆 Big Data Hackathon (Sep 2021) – XP Inc. & Microsoft Azure
- 🏆 Cryptocurrency Datathon (Sep 2020) – FGV & Ripple