ML research system Reviewed September 2026 Modeling Systems

Algorithmic Trading AI System

Directed or developed a multi-repository ML research system covering data preparation, model evaluation, shared contracts and execution integration. The trading research system separates research, paper-trading and live-trading progression with acceptance gates. Model evaluation and acceptance gates; live performance is not asserted.

TensorFlow / Keras IBKR API Databento L2 W&B FastAPI Parquet

Project Overview

Directed or developed a multi-repository ML research system covering data preparation, model evaluation, shared contracts and execution integration. The trading research system separates research, paper-trading and live-trading progression with acceptance gates. Model evaluation and acceptance gates; live performance is not asserted.

Implemented Scope

  • Directed or developed a multi-repository ML research system covering data preparation, model evaluation, shared contracts and execution integration.
  • The trading research system separates research, paper-trading and live-trading progression with acceptance gates.

Commercial Relevance

Topics this project helps explore: Governance, promotion control, execution reliability, and observability for high-stakes automated decisions.

The project illustrates implementation choices and validation questions. Its existence does not establish adoption, client savings or a measured production outcome.