Imad Dabbura

AI Scientist

AI Scientist building ML systems from first principles.

Welcome to your backstage pass for mastering AI and Machine Learning — not through surface-level tutorials, but through first-principles thinking, mathematical derivations, and building things from scratch.

I’m a DMTS — AI Scientist with a decade of experience across smart devices, healthcare, and enterprise AI. The best way I’ve found to truly understand something is to derive the math — whether it’s backpropagation, probability theory, or information-theoretic bounds — write the code, and dig into every layer. That’s what this site is about.

What You’ll Find Here

From-Scratch Builds — GPT-2, LSTMs, transformers, a PyTorch-like framework, and more — every line annotated with the reasoning behind it.
Mathematical Foundations — Deep dives into probability, information theory, optimization, and the statistical machinery that underpins modern ML.
Battle-Tested Lessons — What actually works when you move from notebook to production, what breaks along the way, and how to skip the growing pains.
Paper Breakdowns — Structured summaries of foundational and influential papers, distilled into what matters and why.
Open-Source Tools — Libraries and frameworks built to accelerate ML experimentation.

Get in Touch

I’m always looking to improve and tailor content to what’s most useful. If you have a correction, a question, or a suggestion for what to write about next — reach out by email or on Twitter.