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 an 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.