Bradley Thomas

Experience with Python development, system administration, troubleshooting, and backend logic. Skilled in automating tasks, improving workflow efficiency, and supporting IT environments. Experienced in machine learning automation, network troubleshooting, and system monitoring, with a strong passion for learning new tools and adapting quickly to technical challenges.

Regime-Aware Trading Engine - Automated trading system that identifies market regimes and switches strategies using volatility and trend indicators. Implements live backtesting, adaptive risk metrics, and quantitative modeling - aligned with real-world algorithmic trading workflows. 

ML-Powered Intrusion Detection System - Real-time network monitoring tool using machine learning to detect suspicious behavior, anomalies, and traffic deviations. Builds behavioral profiles and generates incident timelines - demonstrates cybersecurity, ML, and network analysis skills. 

Self-Healing Machine Learning Pipeline - Production-style ML pipeline that performs drift detection, automated retraining, rollback protection, and continuous monitoring. MLOps-style reliability, alerting, and automation built into the workflow.