Designed and built the real-time machine learning engine for a clinical diagnostic system, analyzing live EEG signals and tabular data. Developed the ML backend for a pose-estimation mobile app tracking rehabilitation exercises, supporting the reduction of public healthcare waiting lists.

Trained machine learning and deep learning models for personalized messaging across retail, insurance, automotive and healthcare, increasing monthly sales by 5%. Analyzed large-scale datasets for record completeness and produced automated reports to support strategic decision-making.

Automated key operational processes and eliminated workflow bottlenecks within the Treasury team by building and deploying bots in a Microsoft ecosystem.