At CNPS, I designed and developed a distributed, event-driven pipeline to optimize the processing of national social payments. I captured transactions with Debezium and Apache Kafka, and developed Python orchestration microservices.
I also worked on A-FER, a personal entity-resolution engine written in Rust. It processed one million queries against a one-million-record reference in under 15 minutes, using parallel processing and streamed results.
On my academic web-mapping project, I developed a Node.js API and worked with PostGIS and GeoServer data. I also built a bare-metal x86 kernel and a VS Code extension for fuzzy search and quick file creation.
