Will Boxx
Senior RF/Electronics Engineer
Project details
Spectrum Data Pipeline
High-volume spectrum storage, parsing, and QA tooling.
Stack
PythonSQL
Background
High-volume spectrum storage and parsing pipeline to support frequency planning and QA.
Project description
Implemented compact binary encoding and fast GEMSIS parsing to accelerate analysis while keeping the data set lightweight and reliable.
Notable results
- Reduced spectrum storage size by 75% with a custom binary encoder.
- Improved GEMSIS parsing speed by 99% for rapid frequency planning.