AI Data Engineer at WorldLink US. I ship ML and LLM systems into production on Databricks and write about what breaks along the way.
LinkedIn ↗An honest review of The Generative AI Career Masterplan by Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, and Leonid Kuligin (Packt). A broad, evidence-first career roadmap whose career half is stronger than its technical half.
An honest review of Enterprise Vibe Coding for Agentic Engineering by Valentina Alto (Packt). Why the book is an operating model for steering coding agents in a real repository, not a guide to better prompts.
ChicagoPulse won Gold in the Databricks Genie-Powered App Challenge. Here is how governed metrics, evaluation, and visible evidence turned a civic-data chatbot into an app people can inspect and trust.
An honest review of Extreme DAX, Second Edition by Michiel Rozema, Madzy Stikkelorum, and Henk Vlootman. Why this Packt book is a scenario playbook for advanced Power BI, not another DAX function reference.
A practical guide to the Databricks Partner Well Architected Framework (PWAF): the three partner tracks, the four pillars, the four deployment models, and the deployment-model decision that quietly determines what program benefits you can ever earn.
A grounded review of Sam Bhagwat's two free Mastra books, Principles of Building AI Agents and Patterns for Building AI Agents. Principles teaches what to build; Patterns teaches how to keep it alive in production.
An honest, in-depth review of 30 Agents Every AI Engineer Must Build by Imran Ahmad (Packt). Why the book is really a pattern library for production agent engineering, not a catalog of 30 demos.
A complete 2026 guide to building a resume from scratch, finding the gaps, tailoring it to a role and company, and passing the ATS, plus a matching cover letter and the tools that make it faster.
A technical deep dive into Databricks Data + AI Summit 2026: Genie One, Unity AI Gateway, Lakeflow, LTAP, Lakebase, and Lakewatch, and what each announcement means for data and AI engineers.
An introduction to The Brian Journal, a personal blog by Brian Castelino on data engineering, AI, analytics, and the tools and ideas behind what I build.
A step-by-step guide to building a fast static blog with Next.js, Markdown, and CSS Modules, then deploying it free on GitHub Pages with GitHub Actions.
