# Two-Sample Kolmogorov-Smirnov Drift Test Runner
The two-sample Kolmogorov-Smirnov (KS) test is a non-parametric method comparing the continuous cumulative distributions of training baseline data against live production predictions.
### Task
Implement `detect_feature_drift(baseline_series: pd.Series, current_series: pd.Series, alpha: float = 0.05) -> dict`:
1. Drops null values from both series.
2. Invokes `scipy.stats.ks_2samp(baseline_clean, current_clean)`.
3. Returns a dictionary: `{"statistic": float, "p_value": float, "drift_detected": bool}` where `drift_detected` is True if `p_value < alpha`.