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ML Engineer
Ranked 117/5022 (top 2.3%) in Wunder Predictorium β building multi-agent ML swarms for market prediction. Live leaderboard.
ML
Multi-Agent
Python
Competition
The problem it solves
In a field of 5022 competitors, Wunder Predictorium challenges participants to build AI systems that predict market movements. My multi-agent approach combines specialized ML models into an ensemble swarm, currently ranked in the top 2.3%.
Architecture
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Multi-agent ML swarm β ensemble of specialized forecasters
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Python + scikit-learn + XGBoost base models
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Agent collaboration layer for weighted ensemble
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21 submissions with iterative refinement
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