Anthony Thomas

I’m a software engineer with 12 years of experience building backend and full-stack systems, and the last several years focused on shipping production AI and LLM-powered features. I’m comfortable moving between a quick low-code automation and a properly engineered service, with the judgment to choose what a given problem actually needs.

I’ve designed and built end-to-end ML pipelines for patient risk prediction, no-show forecasting, therapy outcome modeling, and provider matching. I’ve also built LLM-powered patient intake assistants and clinical knowledge search using embeddings, vector databases, and RAG, then delivered real-time inference via FastAPI, Docker, and Kubernetes.

I bring strong MLOps discipline—MLflow model registry, automated retraining, drift detection, and CI/CD on AWS SageMaker and EKS—plus monitoring dashboards with Prometheus and Grafana. Across my work, I ensure HIPAA-compliant governance, audit logging, and secure access controls, and I like to define success criteria, ship a first version quickly, and iterate from real usage.