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.
Friends writing a story together, each with their own copy. Alice adds a paragraph about dragons at the beginning while Bob deletes a sentence about knights in the middle and Charlie fixes typos at th
2025 was the year AI moved from experimentation to industrialization. While 2024 saw the explosion of generative AI capabilities, 2025 was about making those capabilities production-ready, cost-effect
Remote islands must agree on decisions—when to hold festivals, which trading routes to use, who leads the council. Messages travel by boat, boats sink, islanders leave for fishing trips. How reach agr
A startup's GenAI application cost $0.42 per query at 15-second latency. At this rate, their Series A funding would last six months. The problem wasn't the model—it was unoptimized inference. Each req
A rafting expedition where multiple guides must agree on decisions—which rapids to navigate, when to stop for camp, who leads each section. Without consensus the expedition fragments. Raft consensus w
A SaaS company with 200 support agents and 10,000+ knowledge base articles had an 18-hour average response time and 23% first-contact resolution. Their largest enterprise client threatened to cancel a
Verifying two people are identical twins using DNA: you could sequence their entire 3 billion base pair genomes and compare every position. Or use genetic fingerprinting: hash specific DNA regions int
Thousands of children play at a beach, each leaving footprints. Tracking each child's visits individually becomes impossible at scale. Instead, imagine multiple shallow sandpits with different grid pa
Deploying AI in regulated industries—banks, insurance, healthcare—requires more than technical excellence. A model that's a black box cannot satisfy regulatory requirements for explainability. Trainin