1d ago · 18 min read · The Paradigm Shift in Machine Learning Operations By 2026, the technological landscape signals the end of experimental, siloed machine learning and the start of an Execution Era in which AI is embedde
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4d ago · 5 min read · Every April I go through the same thing. Tax declaration deadline shows up. I open my company's internal tax calculator. I enter my deductions — 80C, NPS, health insurance. I look at the tax payable.
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Apr 18 · 4 min read · Where we are: In Part 1 you set up an environment and built your first agent. In Part 2 you learned what each parameter actually means. Now it's time to get your hands dirty — let's take that default
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Apr 17 · 7 min read · Picking up from Part 1: You built and ran your first ADK agent in TypeScript using @google/adk. You verified it works via the CLI and the web UI. Now it's time to understand what each part of that age
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Apr 15 · 5 min read · Today, most frameworks for building AI agents are missing something fundamental. If you look closely at the language they use, you'll notice a pattern: their domain models are anemic. They give you ab
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Apr 12 · 9 min read · A step-by-step walkthrough of building an automated PDF embedding application using Lambda, Bedrock, FAISS, and LangChain — with honest feedback and what I'd improve next time. The Problem This Solv
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Apr 13 · 5 min read · Why region strategy is a GenAI architecture decision In AWS GenAI projects, teams often treat region selection like a checkbox. In reality, the region is part of the architecture. Model availability,
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