🇨🇴 AI-Driven Quant | Building the data, workflows, and research infrastructure where quant edge actually lives.
Fusing Quant Research & AI to engineer alpha
signal-lab — Research pipeline for systematic signals: point-in-time data
validation, multiple-testing safeguards, and out-of-sample evaluation by default.
python pandas scikit-learn pytorch
risk-premia-engine — Factor construction and dynamic allocation across
traditional and digital assets, from raw data to portfolio weights.
vectorbt quantstats
research-agents — LLM workflows for the boring 80% of quant research:
data triage, document extraction, and backtest QA. Humans keep the judgment calls.
anthropic-api langchain
📌 Currently exploring: agentic research workflows and where they break.