Essays · Operations Intelligence, AI and Quant
Hossein Narimani — Writing
In-depth writing on quant system design, operational AI, SaaS architecture, custom AI agents and founder execution systems.
Why Your Data Pipeline Fails in Production: Architecture Mistakes in Stateful Processing and Late-Arriving Data
Most data pipelines that fail in production don't have a technology problem. They have an architecture problem — built for an ideal world that doesn't exist in production. In the real world, data arrives late. Events come out of order. State corrupts in...
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Feedback Loop Systems for Fast Decision-Making in Startups: How Founders Execute with Real-Time Data
Most startups drown in data, not the absence of it. Dashboards packed with metrics, weekly reports, review meetings — and yet executive decisions...
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Hybrid Quant System Architecture: Integrating Risk Management, Position Sizing, and Execution in a Unified Framework
Most quant systems that fail in production don't have a signal problem. They have an architecture problem. Their signals work. Their backtests are...
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Personal Architecture: If Your Life Were a SaaS, Where Would the Bottleneck Be?
Most people assume life breaks because of insufficient time. Production systems fail for a different reason. Capacity collapses before time runs...
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Quant Research vs Quant Trading: Signal Discovery vs Capital Execution in Quantitative Systems
Most people treat Quant Research and Quant Trading as different labels for the same profession. Operationally, they are two separate layers of the...
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