From Aerospace to AI: Lessons in System Design
From Aerospace to AI: Lessons in System Design
When people learn I went from building satellite systems at Maxar to AI consulting, they often ask: "How are those related?" The answer might surprise you.
Systems Thinking Transfers
At Raytheon and Maxar, I learned to think in systems. A satellite isn't just a camera in space — it's a complex integration of power systems, thermal management, communications, attitude control, and mission planning. Each subsystem must work perfectly, and they all depend on each other.
AI systems are remarkably similar.
The Parallels
| Aerospace | AI Systems | |-----------|-----------| | Requirements Engineering | Problem Definition | | System Integration | Model Pipeline Design | | Verification & Validation | Testing & Evaluation | | Failure Mode Analysis | Bias & Error Analysis | | Mission Operations | Production Monitoring |
Lessons That Transfer
1. Requirements Matter Most
In aerospace, a vague requirement can cost millions. In AI, a poorly defined problem leads to useless models. I spend more time understanding the business problem than writing code.
2. Test Everything
Satellite systems undergo thousands of tests before launch. There's no "undo" in space. I bring this rigor to AI — comprehensive testing, edge case analysis, and monitoring in production.
3. Failure Modes Are Critical
In aerospace, we do Failure Mode and Effects Analysis (FMEA). For AI, I apply the same thinking: What happens when the model is wrong? What's the fallback? How do we detect degradation?
4. Integration Is Where Things Break
The hardest part of satellite development isn't building subsystems — it's integrating them. Same with AI. The model might work perfectly in isolation, but integrating it into business workflows is where complexity lives.
The MBA Bridge
My MBA at CU Boulder bridged the gap. Aerospace taught me how to build. Business school taught me what to build and why. AI consulting is the intersection — building intelligent systems that solve real business problems.
Why This Matters For You
When you hire an AI consultant with aerospace background, you get:
- Engineering rigor applied to AI development
- Systems thinking for complex integrations
- Risk management built into every solution
- Business acumen to ensure ROI
The best AI solutions aren't built by people who only know AI. They're built by people who understand systems, business, and technology.
Want to bring systems engineering rigor to your AI projects? Let's talk.