Hello! My name is Filipe.

I design and develop high-performance forecasting agents for markets like Polymarket, Kalshi, and PredictIt, focused on real probability, statistical calibration, and data-driven decision-making.

With experience in quantitative engineering and trading systems, I build agents that go beyond simple models — they are complete pipelines for forecasting, analysis, and continuous probability updates.

What I can develop for you:

• Probabilistic forecasting agents for real-world events (macro, politics, crypto, economics).

• Calibrated statistical models (Bayesian, regression, ensembles).

• Real-time data scraping and ingestion systems.

• Feature pipelines and automated signal generation.

• Efficient market modeling and edge detection.

• Forecast backtesting with scoring (Brier Score, Log Loss, calibration curves).

• Multi-model systems (consensus + dynamic weighting).

• Integration with Polymarket, Kalshi, and PredictIt APIs.

• Continuous performance monitoring and model drift detection.

• Infrastructure for autonomous forecasting agents.

If you want to turn data into actionable probability, I can build that for you.