Summary
Liam Eloie is a London-based machine learning engineer and founder who blends research rigor with hands-on product delivery across AI, cloud, and data platforms. Currently a ML Engineer at Penguin Random House UK, he previously led AI initiatives at Engine AI and founded Artigen, where his image-generation platform attracted 700K users, generated 15 million images, and achieved 100% uptime on Google Cloud Platform. At Artigen he engineered end-to-end systems (React frontend, Express backend, serverless GPU inference) and integrated large language models via the OpenAI API to align image generation with user intent, while reducing inference costs by 60% through IaC and CDN optimizations. His background spans quantum gate learning research at UCL and practical ML across e-commerce, biology, and web technologies, with a track record of scalable experimentation using MLFlow, Bayesian optimization, Terraform, Kubernetes, Docker, and PyTorch. He holds an MSc in Machine Learning (Distinction) from UCL and an MSci in Theoretical Physics, reflecting a deep curiosity about complex systems and how to translate that into practical AI solutions. Based in London with about a decade of experience, he excels at turning ambitious ideas into reliable, high-impact technologies.
10 years of coding experience
2 years of employment as a software developer
A Levels, A Levels at Thomas Tallis
University College London