About
Rafael Santos holds a PhD in transportation engineering and brings twelve years of experience split evenly between academia and industry — six years in each. His work sits where three fields rarely meet in one person: transportation-domain depth, high-performance systems engineering, and large-scale computing. He builds across Rust, Python, and Java — Rust where microseconds and memory matter, Python for modeling and orchestration, Java where the ecosystem fits — and has hands-on experience running compute clusters and supercomputers, sizing and tuning workloads that don't fit on a single machine. Geonix is the expression of that combination: terabyte-scale geospatial pipelines on commodity hardware, natural-language query and generative dashboards and maps over a guardrailed semantic layer, and city-scale traffic microsimulation as a synthetic-data source. The throughline is engineering that is measured, honest about its limits, and built end-to-end — from raw GPS to an interface you can talk to.