Summary
Liam Eloie is a machine learning engineer with 11 years of experience who bridges theoretical physics rigor and practical AI product-building, currently working at Penguin Random House UK and founder of Artigen, an AI image generation platform with over 700K users. He holds an MSc in Machine Learning (DeepMind scholar) and an MSci in Theoretical Physics, and has a track record of deploying scalable ML systems on GCP, serverless GPUs, and IaC that cut inference costs by 60% and kept 100% uptime. Liam combines research chops—published work on quantum gate learning and protein-function prediction—with hands-on engineering across React, Express, PyTorch, and Terraform to ship high-throughput, cost-efficient services. He’s particularly skilled at integrating LLMs for intent understanding, optimizing model deployment pipelines, and turning cutting-edge generative models like Stable Diffusion XL into robust consumer products.
10 years of coding experience
2 years of employment as a software developer
A Levels, A Levels at Thomas Tallis
University College London