Designing fighter jets taught me one truth: Great designs are built on the successful integration of many disciplines into a single, flawlessly coordinated machine.” Since founding DecisionIQ in 2015, I have applied aerospace-grade design thinking to build winning industrial AI solutions—turning complex, multi-disciplinary engineering challenges into decision-ready AI machines.

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:

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

Andrew's experience by role:

• Startup CEO
• Fractional CTO, CPO, AI Specialist
• 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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