Blog
Practical thinking on AI governance, scalable systems, blockchain architecture, and the engineering discipline that makes complex systems reliable.
How to architect a scalable, event-driven AI agent system on AWS Lambda with SQS — the four-tier hierarchy, countdown latches, and the patterns that make it production-ready.
AI governance for engineering teams requires enforceable constraints in the development workflow, not just policy documents that sit in a wiki.
Practical lessons on building retrieval-augmented generation pipelines that work reliably at scale, beyond the demo stage.
Why we stopped calling OpenAI for embeddings and built a Rust-based vector generation service on AWS Lambda. Architecture, deployment, and the math that makes it obvious.
Architectural patterns for scaling backend systems that process large volumes of data reliably, from partitioning strategies to backpressure mechanisms.