Teams at Credit Acceptance Corporation

Design, develop, test, deploy, and support backend-focused software components. Own small features end-to-end, write unit tests, participate in code reviews, debug production issues, document designs, and collaborate with global stakeholders while following SDLC and Agile practices.

Lead design, development, and production deployment of enterprise-scale ML and GenAI solutions (LLMs, RAG, recommendation systems). Architect scalable inference and training pipelines, mentor MLEs, collaborate with stakeholders, ensure security/compliance, and measure and optimize model performance and business impact.

Lead and grow a data engineering team to design, build, and operate scalable batch and streaming data platforms and pipelines. Own delivery, architecture oversight, technical standards, stakeholder communication, and alignment of data strategy with business priorities while promoting engineering excellence and continuous improvement.