Summary
Tim Wolff-piggott is a Founding Machine Learning Engineer with nine years of experience turning research into production-grade ML systems for robotics, manufacturing, and fintech. He designs and owns ML and data infrastructure—automating training loops, managing multimodal on-robot data capture, and integrating learning with motion planning and control. Previously he scaled Lifecheq’s ML platform on AWS Databricks, built government-scale OCR and LLM-driven insurance journeys, and delivered edge anomaly detection and prescriptive ML that cut scrap rates by up to 45%. Comfortable across deep learning, data engineering and MLOps, he has built Kubeflow/EKS platforms, distributed GPU training, and open-sourced tooling for experiment tracking and optimisation. A former statistics tutor and MSc graduate with Distinction from the University of Cape Town, he blends rigorous academic foundations with hands-on, deployment-focused engineering.
9 years of coding experience
8 years of employment as a software developer
Master of Science (by coursework and dissertation), Statistical Sciences, Distinction, Master of Science (by coursework and dissertation), Statistical Sciences, Distinction at University of Cape Town
English