Andrew Ginns
Applied AI Engineer at OpenAI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAndrew 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 SchoolBachelor 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 BirminghamMaster of Science (MSc) Advanced Computing - Machine Learning, Master of Science (MSc) Advanced Computing - Machine Learning at University of Bristol
Chinese, French, English
Github Skills (152)
python10
deep-learning10
sketch10
sdk10
sql10
ai10
neural-network10
cli10
diagram10
image-translation10
tensorflow10
machine-learning10
inference10
openai10
chatgpt9
Programming languages (17)
Github contributions (5)
andrewginns/CycleGAN-Tensorflow-PyTorch
Jun 2018 - Jan 2026
Base code for CycleGAN. Python implementation of tools for training and testing a model.
Contributions:2 releases, 12 PRs, 47 pushes in 7 years 8 months
cycleganpythontesting
andrewginns/MSc-Project
Jun 2018 - Sep 2018
Repo for MSc Advanced Project for the degree of Advanced Computing at the University of Bristol. Links to related Gits in README
Contributions:98 commits, 10 PRs, 84 pushes in 3 months
bristolgitsscientific-computinglinkscomputing
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