Summary
Joaquin Rus is a Senior Data Scientist with a decade of experience building large-scale machine learning and data products for publishing, advertising tech, and finance research firms across London and the UK. He has designed and deployed high-throughput classification, recommendation and pricing systems—processing terabyte-scale datasets with NLP, gradient-boosted trees and neural networks—to drive publisher monetisation, purchase-intent signals and algorithmic ebook pricing. His roles at Skimlinks, HarperCollins and Affectv blend hands-on engineering (end-to-end deployment, testing and code review) with product-facing experimentation (A/B testing at internet scale) and team mentoring. With a PhD and postdoctoral research background in soft computing and nearest-neighbour methods, he brings rigorous academic foundations to practical, production ML problems. Less obvious: he’s equally comfortable reverse-engineering traffic and sales metrics for business insight as he is architecting scalable ML pipelines for live traffic.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.+ B.sc, 5-year), Computer Engineering, 9.078 (out of 10), Master of Science (M.Sc.+ B.sc, 5-year), Computer Engineering, 9.078 (out of 10) at Universidad de Granada
Spanish, English