ML / Optimization

Machine learning, deep learning, and optimization:

1. Building footprints from aerial imagery: SAM 3 and ESRI

   Professional work. Compared SAM 3 and ESRI building extraction on 10 cm aerial imagery, then evaluated frozen predictions against manually reviewed 2026 building outlines.

2. Traveling Salesman

   Public code. A Python TSP solver with exact methods, local search, metaheuristics, a command-line interface, and reproducible TSPLIB comparisons.

3. Lead Pipe Prediction Prototype

   Synthetic-data demonstration. A synthetic-data prototype for predicting pipe materials and organizing human review.

4. Water Conservation Routes

   Professional work · Route planning. Inspection-route planning, archived grouping comparisons, and a later Python workflow for controlled routing and workload analysis.

5. Income Level Prediction Using R

   Independent R learning project. An R classification study comparing four model families against a majority baseline on historical UCI Adult records, with grouped cross-validation, uncertainty analysis, and ggplot2 results.

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