I build EdTech, structured-data workflows, and digital products for education teams that need clarity, traceability, and usable interfaces.
I work at the intersection of education, data strategy, and software engineering — building knowledge systems, auditable data workflows, and product prototypes for education teams. My public work spans public-data maps, institutional systems, dashboards, and tools that turn complex information into actionable interfaces.
Atuo na interseção entre educação, dados e engenharia de software — construindo sistemas de conhecimento, fluxos de dados auditáveis e protótipos de produto para times educacionais. Meu trabalho público inclui mapas de dados abertos, sistemas institucionais, dashboards e ferramentas que transformam informações complexas em interfaces acionáveis.
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Knowledge systems Learning tools, institutional memory, archives, and research operations designed for long-term use. |
Auditable data workflows Public-data maps, reproducible methods, source review, evidence trails, and clear documentation. |
Product prototypes Interfaces and dashboards that turn complex education routines into usable digital products. |
| Project | Description | Stack |
|---|---|---|
| spotify-curation | Personalized playlist curation powered by your own library — no algorithm, no black box |   |
| mapa-contatos-historia | Auditable mapping of Brazilian public universities with History programs and institutional contact evidence |  |
| pet-historia-legacy | LEGACY Dashboard-style UI prototype for cataloging institutional memory — superseded by acervo-pet |    |
| pet-historia-docs | LEGACY Public product brief for academic workflows, archive operations, and institutional memory |   |
How I approach projects
- Map the real workflow: people, data, documents, decisions, and constraints.
- Structure the evidence: sources, assumptions, edge cases, and reproducible methods.
- Build the interface: practical tools that make complex information searchable and usable.
- Document the system: READMEs, operating notes, and clear repository metadata.
What I care about in software
- Readable implementation before unnecessary abstraction.
- Interfaces designed for repeated use, not just first impressions.
- Data workflows that make uncertainty explicit instead of hiding it.
- Documentation that helps the next person understand what is true, current, and safe to change.
Education workflows deserve the same rigor as production software.
Last updated: 2026-05-24