In-Depth Publications & Research
A detailed log of recent projects, architectural analyses, and written publications.
Analyzing Real-Time Hydrological Datasets
This paper covers the programmatic challenges of building lightweight scripts to consume deep, nested datasets from government endpoints (like the USGS Water Services API). We dive into standardizing inconsistent JSON keys, filtering out noisy telemetry errors, and calculating clean, Derived-Percentage values (such as capacity percentages of local water bodies) instead of relying on raw elevation figures. It outlines a method for executing these calls on-demand with minimal overhead.
The Case for Custom Automations Over Third-Party Apps
Modern application ecosystems push users toward specialized, proprietary applications for simple tasks. However, these applications often introduce latency, background tracking, and severe data inaccuracy. This analysis argues that utilizing robust, native automation runtimes—such as Apple Shortcuts on macOS coupled with direct API endpoints—delivers vastly superior accuracy, strict data privacy, and a more resilient, custom-tailored user experience.