AI Engineering
Building a Resilient RAG Pipeline
Why most RAG demos break in production, and the retrieval, evaluation, and guardrail patterns that make retrieval-augmented generation dependable at scale.
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Writing
Notes from production
Hands-on essays on building AI systems, cloud platforms, and the distributed services underneath them. No hype — just what works and what breaks.
AI Engineering
RAG, evaluation, and shipping LLM features to production.
Cloud Architecture
Cloud-native foundations, Kubernetes, and platform design.
System Design
Distributed systems, consistency, and scaling trade-offs.