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Deep dives on AI engineering, quant development, and building LLM systems for financial data

POST 01

Black-76 Monte Carlo in Python: Pricing Commodity Options the Right Way

Why Black-Scholes is wrong for commodity futures options, and how to build a Monte Carlo pricer using the Black-76 model in Python. Full code walkthrough with Greeks, Asian payoffs, and live WTI data.

26 Feb 2026•6 min read
PythonQuant FinanceMonte Carlo
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POST 02

AI Isn't Democratizing Development. It's Doing the Opposite

AI coding tools are creating two classes of developers. Elite devs with domain expertise are becoming superhuman. Everyone else is generating slop faster.

6 Feb 2026•6 min read
AISoftware EngineeringDeveloper Productivity
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POST 03

TOON vs CSV vs JSON: Testing Token Optimisation Claims

I tested TOON's 60% token savings claim on real financial data. CSV beat TOON by 10% on tokens and has 30 years of tooling. Here's why.

16 Jan 2025•4 min read
AILLMData Engineering
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