ML-driven smart order routing — gradient-boosting models predict venue-level slippage, fill probability, and latency from a live ROS 2 execution-quality pipeline (FastAPI + React), with rolling live validation against realized fills
SQL-driven order flow analytics for equity execution desks — schema design, analytical queries, and interactive notebook
Prediction-market execution research lab testing whether apparent short-horizon Polymarket BTC pricing edges survive spread, fill probability, latency, risk limits, and settlement frictions.
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