Non-Reoccurring Engineering Tool

Currently leading development on Boeing’s first machine learning Non-Recurring Engineering (NRE) hours estimator, trained on actual time-logged data from tens of programs across all engineering disciplines. The tool delivers highly accurate design-hour predictions that directly strengthen bid/no-bid and make-or-buy decisions on multi-million-dollar contracts. I define key variables, curate the training dataset, direct university researchers on model architecture and validation, and am driving production of the GUI for company-wide deployment to proposal teams.

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Bottoms-up Cost Analysis

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Parking System Sustainment & Development