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AI-powered trading research
An early Python and Jupyter experiment connecting OpenAI language models with trading logic to explore AI-assisted market analysis and decision support.
An early Python and Jupyter experiment connecting OpenAI language models with trading logic to explore AI-assisted market analysis and decision support.
The project source and available validation are linked above for direct review.
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Role: Primary developer, AI context and governance engineering
A Python and MCP-compatible context system that turns permission-scoped company knowledge into reliable working context for employees and AI assistants.
Role: System design and AI-assisted implementation
A local AI-work control plane that compiles bounded, task-specific context and coordinates evidence, provider handoffs and human-approved capabilities without duplicating project data.
