Building reliable Big Data systems through better testing and data quality.
- 🎓 M.Sc. candidate in Computer Science at State University of Ceará (UECE), researching software testing for Big Data with a focus on data quality, LLMs, and RAG (since 2024)
- 🧪 Research lines:
- Systematic Literature Review + extensive snowballing (screened 4,700+ titles/abstracts) on Big Data testing tools, methods, and frameworks
- Mining online repositories (Medium, LinkedIn, DEV, Stack Overflow) to uncover emerging practices using topic modeling (LDA), keyword extraction, K-means, and DBSCAN
- 🛠️ Building an LLM- and RAG-assisted tool to help testers improve coverage and ensure data integrity in Big Data systems (natural-language test specs, data-quality checks, and more)
- 📄 Publications and activities: SLR paper published; experience report + expert survey with a Big Data testing checklist (short paper + extended LNBIP); poster and abstract accepted at the 5th LATAM School
- 👨💻 B.Sc. in Computer Engineering from IFCE (2017–2023)
- 🔎 Interests: Big Data, Software Testing, Data Quality, Mining Software Repositories, ML for SE, LLMs, RAG.
Always open to collaboration on data-quality testing, empirical studies, and tooling for large-scale systems.
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