AI Systems Architecture

Understanding How AI Systems Behave in the Real World

I work at the systems and architecture layer of AI.

This work focuses on how AI systems behave beyond the model: in production environments, under real constraints, and over time. The emphasis is on architecture, execution tradeoffs, and failure modes that are not visible in demos or benchmarks.

Topics I spend time on include:

• End-to-end AI system architecture
• Latency, cost, and throughput tradeoffs
• Degradation, drift, and operational failure modes
• Where human judgment remains essential in AI systems

The model is rarely the problem. The system usually is.

This site serves as a reference point for my work across audio, writing, and research.