@lakkawardhananjay
Cloud Architect & AI Engineer. Building scalable systems on cloud.
AI/ Cloud Native Engineer passionate about the intersection of cloud and Modern AI. I focus on the hard parts of engineering: cost optimization, security at scale, and the architectural patterns required to move Generative AI from a messy notebook to a production-grade system.
I write to document what actually works in production.
Cloud Architecture Reviews, Technical Consulting, and discussions on Enterprise AI Strategy.
5d ago · 5 min read · If you want to watch a product manager's soul leave their body, sit in on a live demo of a Generative AI feature where the model takes 12 seconds to generate a response. Typing... typing... typing...
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Mar 27 · 5 min read · It was 11:00 PM on a Tuesday when my friend startup's CTO dropped a screenshot of their monthly cloud bill into the engineering Slack channel. The AWS infrastructure costs were flat. But their LLM inf
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Mar 18 · 5 min read · When engineering teams first integrate Generative AI into their products, they usually make a rational, but ultimately expensive, decision: they pick the smartest model available and send every single
Join discussionMar 14 · 5 min read · Building a Retrieval-Augmented Generation (RAG) prototype takes a weekend. Taking that prototype to production without burning through your infrastructure budget is a completely different engineering
Join discussionJan 23 · 4 min read · The Architecture: Where Complexity Actually Lives A real-world RAG system on AWS is not “send a prompt to a model.” It is a distributed system with multiple failure domains and scaling vectors: Ingestion Pipelines Document parsing, OCR, chunking st...
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