About Step Size Labs šŸš€

Hi, I’m Mohamed šŸ§‘ā€šŸ”¬ā€”a physicist-turned-AI engineer focused on turning advanced machine-learning into practical results for businesses.


Background āš›ļø āž”ļø šŸ¤–

• Quantum-physics graduate research sharpened my habit of moving from abstract theory to working solutions.

• Years in industry shipping recommender systems, NLP pipelines, and demand forecasters—built for scale, reliability, and measurable ROI.

• Comfortable bridging C-suite goals with engineering reality so projects launch on time and deliver value.


What to Expect šŸ“¬

• Deep-dive case studies (Starbucks, Netflix, Walmart) showing how data + AI create real advantage.

• Step-by-step implementation guides for LLMs, feature stores, and workflow automation.

• Concise frameworks and checklists ready to paste into your own runbooks.

• A weekly ā€œAI Espressoā€ ā˜•ļøā€”five-minute reads with tools, research highlights, and tactics you can apply immediately.


Why Follow šŸ”

If you’re ready to move beyond slide-deck promises and build AI systems that earn their keep, you’ll find actionable, hype-free insights here—methods you can deploy Monday morning.


Hit Subscribe, reply with your toughest AI question, and let’s get to work. šŸ’”

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šŸ“Š Step Size Labs breaks down how real companies—Starbucks, Netflix, Walmart & more—deploy AI for growth. Each case study comes with take-away tactics you can copy and ship. šŸš€

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