Taylor Erwin

Taylor Erwin is a Backend Software Engineer with a strong foundation in natural language processing and computational linguistics. Currently, they serve as a Senior MLOps Engineer at FreightVerify Inc, where they drive the deployment of machine learning models for real-time automotive logistics. Taylor previously honed their skills at various organizations, including Health Catalyst, where they developed machine learning-powered data products, and project44, where they contributed as a Software Engineer. Taylor holds a Bachelor of Science in Computer Science and Linguistics and another in Physics from Purdue University and the University of Illinois at Urbana-Champaign, respectively. Their commitment to ethical data use and collaboration fosters successful project execution in their field.