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.
You have a friend who is always certain. That friend will tell you, with complete confidence, that the Battle of Hastings was in 1067 (it was 1066), that water boils at 102 degrees Celsius at sea leve
The captain does not remember every moment of every voyage. The logbook does. What happened, when, what the crew observed, what decisions were made. When the captain reviews the log, past voyages info
A manufacturing company runs their operations on an ERP system installed in 2004. The vendor still supports it. The team knows how to maintain it. The integrations are stable. It works. The problem i
A speed camera does not stop the car. It captures an image at a specific moment, records the license plate and timestamp, and sends the data to a system where a human makes the judgment. The camera ob
A healthcare system deployed an AI triage assistant. It worked well in testing. In production, it started routing patients with chest pain to low-priority queues. The error was subtle and infrequent.
The buffet is unlimited in theory. You can make as many trips as you want. But the plate you carry is finite. Stack it wrong and you have room for eight crab legs but no space for the mashed potatoes
You are looking for a place to swim in warm weather. You do not know the address. Instead, you walk into a city where the street layout encodes meaning. You ask a local: "Where can I swim somewhere wa
A software debugging agent receives a bug report. It needs to search code, understand the error, propose a fix, write tests, and summarize for the developer. None of these steps are independent. Each
You have a treasure map where X marks the spot. Not for gold, but for meaning. The map places every concept at a coordinate. Related concepts sit near each other. "Dog" and "puppy" are neighbors. "Cat