Andrew Curran is a Cloud Data and AI/ML Engineer with more than 5 years of hands-on experience building scalable data platforms, processing pipelines, and production services in GCP and hybrid cloud environments.

His recent work focuses on enterprise data and AI architecture: vector data processing, LLM evaluation, ML orchestration, self-service analytics platforms, real-time Pub/Sub workflows, and cloud-native APIs built with Python, Docker, Kubernetes, Cloud Run, Vertex AI, and Cloud Spanner.

He works comfortably across technical delivery and consulting: translating customer requirements into modular systems, leading engineering teams, advising stakeholders, and improving CI/CD, automated testing, observability, and project delivery practices.

Andrew is certified as a GCP Professional Cloud Database Engineer, GCP Professional Data Engineer, and AWS Cloud Practitioner. He holds an M.Sc. in Biomedical Engineering from Fachhochschule Aachen and a B.Sc. in Mechanical Engineering from the University of Toronto, speaks native English and professional German, and brings a research background in neural data analysis to his work.