At Runhouse, Paul is helping to build, test, and deploy Kubetorch, spending most of his time recently on product discovery and partner engineering for scaled ML use cases as Kubetorch prepares for public launch. Previously, he worked across a range of ML/DS domain areas, from language model tuning and evaluations for contextually aware code generation to productizing causal ML / pseudo-causal inference.