Join me on a journey where every post brings a fresh perspective. This blog is for those who are driven by curiosity and a desire to learn.
From vague prompts to reliable results: practical frameworks and mental models for working with LLMs, covering the 5 Principles, few-shot learning, Chain of Thought, RAG, context engineering, and how agents change everything.
A comprehensive comparison of Azure Bicep and Terraform, plus OpenTofu as a community-driven open source alternative. With HashiCorp's license changes and IBM's acquisition, which tool should you choose for your cloud infrastructure needs?
How I transformed a basic Terraform configuration into a sophisticated infrastructure-as-code solution with modules, testing, CI/CD, and governance.
Final part of our AI project validation series. Learn how to define success metrics, run effective pilot projects, and review key takeaways for successful AI implementation.
Part 2 of our AI project validation series. See the decision framework in action with examples and explore key ethical risks like bias, privacy, and workforce impact.
Part 1 of our series on validating AI projects. Learn a structured decision tree framework to assess strategic alignment, business impact, and ROI.
An overview of a typical machine learning workflow for image classification, covering problem definition, ML type, tooling, data preparation, model training, and deployment using TensorFlow, Flask, and Docker.
