Simor
Data Infrastructure for Production AI
Practical writing on AI data engineering, feature stores, and the infrastructure choices that determine whether AI systems work in production.
A pharmaceutical company's language model could discuss individual molecules but failed to understand that Drug A inhibited the same enzyme Drug B required for activation—a critical interaction that m
Central Library started small: one room, one librarian, manageable. Now it holds millions of books. Patrons wait hours. The librarian hasn't slept in weeks. The solution: split the library. Fiction (
A social media analytics company watched their Kubernetes cluster fail to handle traffic spikes from trending topics. The cluster would scale from 50 to 500 pods in minutes, but not fast enough to pre
Two chemistry labs, different philosophies. ACID lab: Every experiment follows strict protocols. Reactions complete perfectly or not at all. Measurements are exact. Nothing proceeds until everything
A fintech startup's cloud bill grew from $50,000 to $800,000 per month in six months. GPU clusters sat idle between training runs. Terabytes of experimental data accumulated in premium storage. Develo
Imagine arranging pizza party guests on a circle, dividing it like pizza slices. Each station serves a section. When a guest leaves, only their immediate neighbors shift slightly. The rest stay where
A library maintains an unofficial whisper network. A patron asks about a book, and a librarian remembers: "Sarah at the reference desk has it." This network bypasses the official catalog, turning hour
A hospital network had data from 47 hospitals. They had top data scientists. They could not combine the data. Legal teams cited privacy regulations. Hospital administrators worried about competitive a
Embeddings assign numerical coordinates to words and concepts. "Cat" sits near "kitten" and "feline" but far from "airplane." "Paris" neighbors "France" and "Eiffel Tower" but distances itself from "T