AI & ML interests
We build and publish premium synthetic datasets for fine-tuning large language models on institutional-grade financial domain knowledge. Specialising in quantitative finance, systematic trading, market microstructure, derivatives pricing, and algorithmic execution research. Each dataset is generated via multi-agent AI simulation and direct Claude generation pipelines producing instruction-tuning triplets (system/instruction/response) that are technically precise, domain-specific, and MIT licensed for commercial use.
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