Supply Chain Strategist & AI Product Builder

I help organizations turn supply chains from cost centers into competitive advantages

15+ years of building systems that predict disruptions before they happen. Most recently drove AI-powered spare parts optimization at Applied Materials.

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$18M+

in verified cost savings

20%

cycle time reduction

15+

years in the field

What I Believe

Most companies treat supply chain as a cost to minimize. The leaders treat it as a system to optimize — and that's where AI changes everything.

Selected Work

Applied Materials

End-to-End Supply Chain Simulation

Discrete-event simulation for scenario planning across global spare parts network

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Logistics Network

$5M Tariff Mitigation Strategy

Redesigned repair network to mitigate 25% penalty tariffs on China-origin parts

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Warehouse Operations

Cartonization Algorithm — $2.4M Savings

Box-size recommendation algorithm for airfreight packaging to reduce dimensional weight charges

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Applied Materials

ML-Based Spare Parts Forecasting

Machine learning models for intermittent demand forecasting with 30%+ accuracy improvement

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