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.
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
At a networking event, watch how people greet each other. Some reach straight out for a firm handshake. Others angle up for a high-five. A few go low for a fist bump. Measure not the style of greeting
A turbine failed catastrophically at a wind farm. Vibration sensors had detected anomalies weeks earlier. By the time sensor data traveled from remote turbines to central data centers, got processed b
Packing for a month-long trip. Do you use a suitcase with clever compartments, compression bags, and built-in organization? Or a trunk with adjustable dividers, heavy-duty locks, and industrial-streng
Reorganize an enormous filing cabinet. Instead of keeping complete employee records in manila folders (one folder per person with all their information), you create specialized drawers: one for all sa
A magical sketchpad shared by artists around the world. Each artist has their own copy, draws whenever inspiration strikes, and somehow - without talking to each other, without a master artist coordin
A fraud detection model showed 94% accuracy in development. In production Friday evening, it flagged legitimate rides as fraudulent while missing obvious fraud patterns. Investigation revealed the cau
The most secure bank vault in the world requires two different keys, held by two different people, turned simultaneously. Neither person alone can open it. Now try coordinating this when the key holde
Data governance fails for predictable reasons. Organizations run quarterly committee meetings while their data infrastructure changes daily. They document schemas manually while automated systems gene