Nicholas Neuenschwander

Nicholas Neuenschwander is a Senior Machine Learning Engineer at Fetch, where responsibilities include fine-tuning transformer models for semantic similarity and deploying models using Kubernetes and NVIDIA Triton Server. Previously, during a six-year tenure at Cardlytics, Nicholas served as Manager of Data Science, leading a team to automate tools for consumer spend data analysis using various time-series models. Contributions also included developing multi-label classification models, handling new bank partner data onboarding, and creating analytical tools for campaign monitoring. Nicholas holds a Master of Science in Computer Science from Georgia Institute of Technology, a Bachelor of Science in Mathematics, and a minor in Applied Statistics from Kennesaw State University.