My background designing fighter jets taught me a fundamental truth: breakthrough solutions emerge when multiple disciplines work in perfect harmony. AI transformation follows the same principle - success requires seamlessly integrating data architecture, engineering fundamentals, and change management into a unified system. Since 2015, I've applied this systems thinking approach to build AI solutions that deliver measurable results for organizations across industries.

Key AI projects include:

• Hired by AWS to lead 20+ predictive maintenance pilots for their Monitron platform, I delivered 100% adoption by frontline technicians.
• Creating custom GenAI GPTs that help frontline workers upskill and identify hidden operational issues.
• An AI/NLP platform that streamlined USAF maintenance data entry.
• A custom predictive maintenance system for a $15B industrial enterprise.
• A field service optimization framework for a $10B cable network provider.

Before launching DecisionIQ, Andrew led high-impact product design efforts, including:

• Building and branding licensed high-performance Apple-compatible computers.
• Advising company leaders on deploying NIST-certified encryption for federal contracts.
• Designing a flight-tested supersonic wing for the F-16 at General Dynamics’ skunk works.

Andrew's experience by role:

• Startup CEO
• Fractional CTO, CPO, AI Consultant
• Senior Aerospace Engineer

Education:

• MBA, University of Chicago, Graduate School of Business
• BS, Aerospace Engineering, Georgia Tech

Sample AI Clients

Allied Beverage • Baxter International • Coca-Cola • Cox Communications • Detroit Manufacturing Systems • Eli Lilly • Georgia Pacific • Hoffmaster • Ilpea • Lycra • PPC Flex • Reynolds • Sealed Air • Tenneco

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