Understanding Transformer Attention
Demystifying self-attention with Python demos — from the math to a working implementation in under 100 lines.
Technical Blog
Deploying AI system at enterprise scale.
actually explained.
I write about what it actually takes to get Claude into production — latency constraints, CDN architecture, eval frameworks, and the failure modes nobody talks about.
Featured post
Recent posts
CDN and the AI Era: The Infrastructure Layer Most Teams Ignore
CDN is no longer just a cache for static files. In the AI era, it determines whether your product is fast, secure, and scalable for enterprise customers worldwide.
Why is SOC 2 and HIPAA an important consideration for your business
SOC 2 and HIPAA are system design decisions that determine whether your AI product is enterprise-ready. Build with them from day one or rebuild later.
Rust's Zero-Cost Abstractions: What They Are and Aren't
Iterators, closures, and trait objects — which abstractions compile away and which ones don't, with benchmarks.
Building a Production RAG Pipeline
From naive chunking to hybrid retrieval: the engineering decisions that separate toy demos from production systems.