Led Artificial Intelligence (AI) and Machine Learning (ML) Modeling and Simulation Team for the Standard Missile-3 acquisition program. Demonstrated performance feasibility, set hardware and software requirements, evaluated contractor proposals.

Developed ML-powered products that assessed radar and rocket procurement options. Tools distributed by the DOD to inform acquisition decisions and to structure long-term planning.

Designed AI systems optimizing defense architectures for deployed assets. Enhanced tactical and strategic readiness for Homeland Defense and cooperative defense postures with allies.

Synthesized large-scale datasets to assess and predict threat capabilities. Informed near-term responsiveness and long-term planning.

Built and productized personalized ML freight rate forecasting tool synthesizing data from historical shipments, tens of thousands of external market sources, and macroeconomic indicators to optimize margins for Logistics Managers when sourcing trucking capacity. Drove average user realization of 10% gross margin improvement, 30% CAPEX reduction, and avoidance of hiring additional headcount. Crafted responsive ETA statistical model using conversational AI and integrated into transportation management system to provide situational awareness across supply chain from manufacturer to end consumer. Grew revenue 133%, reduced user churn, improved customer NPS.

Architected and commercialized AI fleet utilization module for food delivery service. Optimized pricing, packing, and routing, which improved gross margins 30%, reduced research & booking times 88%, and unlocked 3x increase in shipping volume.