I am a Cognitive Battlespace Architect designing the frameworks, thresholds, and operating pictures that stabilize interpretation, coherence, and decision integrity in AI-enabled operations.

My work sits at the intersection of multimodal AI, cognitive warfare, geospatial intelligence, and meaning architecture - focused on the layer where systems succeed, but decisions fail: the meaning layer.

I build doctrine-level tools for:
- Meaning stability and interpretive drift physics
- Left-of-boom cognitive integrity
- Human–AI interpretive alignment
- Cognitive battlespace mapping
- Thresholds, indicators, and collapse signatures
- Meaning-layer operating pictures (CIOP, MCI, MST)
- Adversarial pressure testing for human–machine teams

Across high-tempo and adversarial environments, the same truth holds: technical accuracy is not sufficient - interpretive integrity determines outcomes.

My work translates this reality into operational doctrine, giving leaders, analysts, and AI-enabled teams the ability to see, measure, and defend the cognitive terrain before failure emerges.

I write, design, and publish doctrine-level tools aligned with Joint Staff, OSD, SOCOM, and DARPA-style operational thinking and cognitive resilience strategy.

Post-Graduate Certificate in Artificial Intelligence and Machine Learning,

University of Texas at Austin (completed 2025). GPA: 4.22.