Dustin SnellingsSoftware engineer

Dustin Snellings / Projects & case studies

Useful software. Inspectable work.

Software engineering, data analytics, and applied AI through working projects. Try a tool, inspect a source, or follow the decisions behind a build.

These projects connect my precision-manufacturing background to software: define the problem, build something useful, and verify the result. Public-data studies and synthetic demonstrations are labeled separately from product work.

Software / Scheduling & optimization

Bottleneck ↗

Disrupt a fictional three-machine shop, search for a better job order, and inspect the schedule with a mechanical browser planner.

Software engineering

DURA ↗

A learning platform with offline progress, spaced repetition, and public implementation evidence.

Data analytics / Aiken, SC

Aiken Housing & Pay ↗

Compare county rent trends with explicitly dated regional wage benchmarks. Inspect the sources and refresh rent observations.

Data analytics / SQL & Python

South Carolina Energy ↗

Explore 35 years of electricity data and reproduce the analysis with the source workbook, CSV, SQL, and Python.

Software / Browser tools

CSV Data Quality Lab ↗

Profile a CSV, inspect missing values and duplicates, preview changes, and export cleaned data without uploading your file.

Applied AI / Cost modeling

AI Model Cost Explorer ↗

Explore how token volume, model rates, and caching affect a monthly cost scenario. Every assumption is editable.

For the debugging decisions behind the work, read my engineering notes. For my background and role interests, explore my career timeline or resume.

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