Hey, I’m Paul! I’m a data scientist with a particular interest in using MLOps practices to reduce time-to-value of machine learning systems and other data-driven products. I have experience in a range of areas spanning traditional data science, building terrabyte-scale distributed data pipelines, and developing RESTful and event-driven applications.

I am currently a data scientist at DeepL, where we develop the world’s most accurate AI translation technology, enabling real-time, human-sounding translation. In addition to my main role I offer advisory services to early stage startups and other small companies. Check out my personal projects on GitHub!

Outside of work, I spend most of my time outdoors. I am a competitive cyclist and triathlete, having competed at national level, and enjoy hiking and paddle boarding.