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  • São Paulo, Brazil

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Achievement: YOLOAchievement: Public Sponsor

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fgatti01/README.md

Fernando Gatti

Forward Deployed Engineer | Applied AI | São Paulo, Brazil

18 years in investments and funds, 6 of them as a risk manager. I build Python systems that put LLM agents to work on real workflows, with finance as my strongest domain: risk, credit, compliance and reporting. I care about evaluation, cost and honest limits more than demos.

Completed The AI Engineer (TAE) by The Python Quants, June 2026.

What I'm building

  • fde-finance-agents (coming soon): five agent projects for finance, starting with a RAG risk agent on public CVM data. Each module will state its status honestly.
  • tae-capstones: four capstones from The AI Engineer course: gradient descent, backpropagation, a tiny Transformer, an MCP incident agent.
  • fmp-financial-analytics: financial analytics on the FMP API: CFA/FRM/CQF metrics (VaR, CVaR, duration, Sharpe) with AI agents.
  • vectorbtpro-agents: multi-agent assistant for vectorbtpro strategy development and backtesting, with a Next.js web UI.

Stack

Python, pytest, RAG and agent frameworks, TypeScript/Next.js for interfaces.

Pinned Loading

  1. fmp-financial-analytics fmp-financial-analytics Public

    Financial analytics on the FMP API: CFA/FRM/CQF risk and return metrics plus AI agents (Agno).

    Python

  2. tae-capstones tae-capstones Public

    Four weekly capstones from The AI Engineer course: gradient descent, backprop, tiny Transformer, MCP incident agent.

    Jupyter Notebook

  3. vectorbtpro-agents vectorbtpro-agents Public

    Multi-agent assistant for vectorbtpro strategy development and backtesting, with a Next.js web UI.

    Python 2