Large scale real-time prediction to optimize ad-spend

Built TensorFlow driven system to predict behavior in real time for all users active on client websites. System processed millions of raw user events daily into a custom Recurrent Neural Network that learns from past user behavior. Built automated model validation methods, result visualizations, hyperparameter search.