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 Fixed LLM Reasoning Levels Are Inefficient: Designing Adaptive Token Allocation Architectures for Next-Generation AI Systems
Most discussions around LLM reasoning modes focus on quality. High reasoning is assumed to be better. Low reasoning is assumed to be cheaper. The reality is more nuanced.When a user selects "Max" reasoning and then asks, "Hi, how are you?", the system may...
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Why Profitable Backtests Fail in Production: The Hidden Gap Between Backtesting and Reality
Every quantitative researcher eventually encounters the same paradox. A strategy looks exceptional in backtesting, produces attractive...
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Why Poor Execution Kills Companies Faster Than a Weak Idea
Most founders overestimate the value of ideas and underestimate the value of execution systems.The uncomfortable reality is that weak execution...
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Complete Guide to OHLCV Data Cleaning in Big Data Pipelines: Frameworks, Failure Modes, and Production-Grade Implementation
Most quantitative trading failures do not begin with the model. They begin with the data. OHLCV datasets sit underneath backtesting engines, alpha...
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