Andrew Ginns is a Solutions Architect based in London with nine years of experience building and deploying scalable AI and MLOps systems across enterprise and product-focused environments. He’s led ML platform design and production deployments—from Michelin’s predictive tyre product and GenAI RAG prototypes to real-time anomaly detection and fleet-scale model orchestration—bridging research, engineering and stakeholder strategy. Comfortable with cloud-native tooling (GCP, AWS, Azure), CI/CD, containerization and LLM integrations, he has a track record of reducing technical debt while operationalising models at scale. A hands-on mentor and team builder, he has grown data science teams and codified MLOps best practices to support long-term maintainability. Recent roles include leadership stints at Motorway and Google before joining OpenAI, reflecting a fast-moving focus on enterprise-grade LLM adoption and ML reliability. He combines deep technical chops from MSc work in advanced computing with practical impact—his tyre predictive PoC cut incidents by up to 80% and seeded a company-wide product.
9 years of coding experience
6 years of employment as a software developer
High School Diploma High School, High School Diploma High School at Oundle School
Bachelor of Engineering (B.Eng. Hons) Computer Systems Engineering with Business Management Minor, Bachelor of Engineering (B.Eng. Hons) Computer Systems Engineering with Business Management Minor at University of Birmingham
Master of Science (MSc) Advanced Computing - Machine Learning Data Mining and High-Performance Computing, Master of Science (MSc) Advanced Computing - Machine Learning Data Mining and High-Performance Computing at University of Bristol
Contributions:35 PRs, 23 pushes, 3 branches in 6 months
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