Zain Mahmood

ABOUT

I'm an AI & quantitative risk consultant in global energy markets with a decade of experience turning complex commodity data into decisive trading and investment action. I also build products weekly. Bootstrapped, shipped fast, and shared publicly.

WHAT I DO

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Risk Modelling: VaR & liquidity models, Monte-Carlo simulations, scenario analysis, initial-margin calculations
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Quantitative Analysis: PPA pricing models, gas storage optimisation, hedging strategies, capital allocation
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Data Engineering: Full-stack data platforms, real-time streaming (Kafka), cloud infrastructure (AWS/Azure)
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Machine Learning: Demand forecasting with deep learning, time-series analysis (SARIMAX), TensorFlow/PyTorch implementations
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LLM & AI Systems: RAG pipelines with vector search (pgvector), LLM API integration, self-hosted inference infrastructure (Ollama), prompt engineering
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Team Leadership: Leading cross-functional teams, Python upskilling programmes, stakeholder management

WHAT I'M BUILDING

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KodeBytes: iOS app teaching kids to code through interactive challenges
LIVE
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Ship-fast: 13 AI-powered Claude Code skills for rapid product development
LIVE
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Reforged: Builder command centre with kanban, terminal, and content studio
IN DEV
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Sovereign Stack: Self-hosted AI infrastructure: Ollama, GPU inference, private cloud
IN DEV
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Deeniverse: Muslim lifestyle platform with RAG-powered Q&A, vector search over 6000+ Islamic texts
LIVE
VIEW ALL PROJECTS

CURRENT FOCUS

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Building AI agents for commodity market analysis and trading strategy generation
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Shipping a new product every week, bootstrapped and built in public
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Creating production-ready systems that combine traditional quant models with modern AI capabilities
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Building RAG pipelines and vector search systems for domain-specific knowledge retrieval
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Testing AI claims through rigorous experimentation on real energy market data

WHY I WRITE

I believe in testing claims, not just accepting them. When I see a new AI tool or technique promising dramatic improvements, I build tests, run experiments, and share what I learn. My goal is to help others make informed engineering decisions based on real data, not marketing hype.

EXPERIENCE

A decade in global energy markets spanning risk management, quantitative analysis, data engineering, and AI systems. I've built production risk systems, deployed RAG pipelines and LLM integrations, led technical teams, and traded commodities across Europe and the Middle East.

GET IN TOUCH

I'm always interested in connecting with fellow developers, researchers, and engineers working on similar problems.

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