Summary
Vaud Burton is an LLM Platform Engineer with eight years of experience building production-grade ML and MLOps systems, currently focused on AI platform work at Cargill in Atlanta. He holds a BS (Highest Honors) and an MS in Computer Science from Georgia Tech and has a strong track record delivering scalable forecasting pipelines and cloud-native infrastructure. At NCR Voyix he engineered a Kubeflow-based forecasting pipeline, slashed costs 60x, reduced errors 33%, and automated operations with Kubernetes, Terraform, GCS and BigQuery. Comfortable across the stack, he combines large-scale feature engineering (PySpark, XGBoost) with observability and automation (Grafana, Docker) to take models from prototype to production. He also has hands-on experience structuring projects and leading teams as a Scrum Master and mentor, onboarding new hires and presenting cross-team technical reports. Known for pragmatic optimization, he blends rigorous academic training with production-focused delivery.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology