Zoë Farmer

I build production-grade ML systems across a broad range of problem types — classification, forecasting, anomaly detection, and neural network inference. My focus is on models that are accurate, resilient, and fast: efficient data pipelines, careful hyperparameter optimization, and parallel training that holds up under real workloads. I also work across the broader data stack, from interactive visualization to agentic systems.