The engineers, researchers, and practitioners building machine intelligence and living with what they create.
"System design is dead," says the feed. A more careful autopsy from a CTO building with LLMs: the battle-tested toolkit survived, but three assumptions beneath it did not — determinism, predictable cost, and the separation of data from instructions. With real incidents, the patterns that answer each break, and a free 7-day GitHub course to learn the new layer from day zero.
This article shares my journey as a Lead Data & AI Platform Architect designing an AI powered inventory intelligence platform for retailers. It explores how understanding business processes, not just artificial intelligence, led to practical solutions that automate operations, improve inventory visibility, and help businesses make smarter decisions.
This article pulls back the curtain on the grief tech industry, exposing how technology companies are turning the rawest human emotion into a recurring revenue stream, and what every grieving person deserves to know before they hand over their heart and their data.
Global AI governance frameworks keep reaching the Middle East and the Global South as checklists that protect no one, stripped of the context they need on the way to the ministries meant to use them. I call this translation failure, and to close it, I taught myself the technical foundations, built a five-layer methodology that turns global standards into operational policy, and founded Breakthrough for Research and Development and TailoredxTech to do that work from within the region rather than for it.
"The model doesn't care about your deadline. It cares about your data."