I'm not a rule maker, I'm a rule breaker. Brazil-based engineer doing hard infrastructure work across AI, crypto, and data tooling — with a strong bias for practical systems over hype. Since 2011, my work has moved from web and data products into protocol depth and agent ecosystems, keeping reliability, transparency, and developer control at the center.
Applying ML to hard, real-world data problems in Brazilian public health.
Maximizing Recall or Precision: ML Approaches for Record Linkage between SIM and SINAN-TB
Probabilistic record linkage between two Brazilian federal health databases — SIM (national mortality system) and SINAN-TB (tuberculosis notification system) — under severe class imbalance (~0.4% true pairs). The goal: identify TB patients who died, without missing cases and without flooding epidemiologists with false positives.
Key findings:
Techniques explored: SMOTE / ADASYN / BorderlineSMOTE, threshold optimization, soft-voting ensembles, stacking, isotonic probability calibration, business rules pre-filtering.
The world is full of rules. Protocols are just your opportunity to choose which ones to improve.