Summary
Jack Hanslope is a software engineer on Snowflake’s Berlin performance team with eight years of industry experience, focused on benchmarking and driving customer-facing performance improvements. He holds a PhD in Artificial Intelligence from the University of Bristol, where his research produced new approaches to inverse reinforcement learning and applied supervised learning to improve short-term weather variable predictions. At Snowflake he translated research and tooling skills into production by designing and building benchmarking tools during his internship and now contributes to performance engineering at scale. Jack’s background blends rigorous mathematical training (MMath, Exeter) with practical analytics work from early roles at Techmodal, enabling him to bridge theoretical ML methods and real-world systems. Based in Berlin, he brings a researcher’s curiosity to production problems and an eye for measurable performance gains that directly impact customer experience. An understated strength is his ability to turn complex, low-dimensional predictive insights into pragmatic engineering solutions.
9 years of coding experience
A Levels, A Levels at York College, York UK
Master of Mathematics Mathematics, Master of Mathematics Mathematics at University of Exeter
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of Bristol