Active hyperparameter grid scan. Filtering 100,000+ backtest rows for predictive alpha.
| Model_ID | Architecture | Dataset | Win_Rate | Sharpe | Status |
|---|---|---|---|---|---|
| MM-7742 | LSTM (128x64) | GBPUSD_100k | 62.4% | 2.14 | [DEPLOYED - LIVE] |
| MM-7743 | Transformer_v2 | EURUSD_250k | -- | -- | [TRAINING - VERTEX AI] |
| MM-7744 | CNN_1D_Deep | USDJPY_100k | 59.8% | 1.85 | [EVALUATING - GEMINI] |
| MM-7745 | LSTM (256x128) | BTCUSD_500k | -- | -- | [QUEUED - GCP BATCH] |
We are currently migrating our local Python/SQLite backend to a fully managed Google Cloud pipeline to eliminate compute bottlenecks and scale our grid searches.
Platform engineer and deep learning architect. Austen built the Matrix Mechanics dashboard to act as a ruthless, high-information-density filter for autonomous alpha generation.
Specializes in operational scaling and commercializing complex ML pipelines. Charles bridges the gap between raw compute and live market execution.