AI engineering insights

Notes from production systems.

Practical perspectives on AI, cloud, security, and regulated software—grounded in systems I have built and led.

Developer productivity

Turn production logs into daily engineering action

Claude Code custom skills analyze and classify recurring, reproducible, and newly generated bugs into focused daily Slack reports.

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Agentic AI

Human approval is a feature, not a fallback

Bounded agent runs, risk classification, and approval gates for autonomous software delivery.

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LLM operations

Controlling LLM cost without slowing delivery

Caching, quality evaluation, fallback models, and tenant-aware spend controls.

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AI governance

Securing enterprise AI coding workflows

Managed policies, permission boundaries, and platform-aware sandboxing.

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Healthcare AI

Building AI platforms around privacy boundaries

Tenant isolation, auditability, and access controls in regulated platforms.

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Identity security

Enterprise biometric authentication

Deployment choice, adaptive matching, liveness, and privacy controls.

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TaxTech

High-throughput systems with accuracy at scale

Rule engines, vectorized pipelines, encryption, and compliant delivery.

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AWS

High-traffic content platforms on AWS

Separate delivery and publishing to improve scale and operational speed.

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Healthcare technology

Reliable healthcare booking systems

Real-time availability, concurrency control, encryption, and audit trails.

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