Zach Churchill is a Senior AI Software Engineer with five years of experience turning LLM capabilities into dependable, production-grade features that prioritize accuracy, explainability, and business value. He blends data science, software engineering, and technical leadership—driving AI product direction from prototype to trusted workflow integration at companies like Lower and American Electric Power. At AEP he led ChatAEP’s technical roadmap and enterprise GenAI adoption, while at Lower he focuses on retrieval-augmented systems that translate complex mortgage guidelines into usable tools. Zach is hands-on across orchestration, evaluation, and MLOps patterns, preferring deep engineering work close to users and domain constraints rather than broad organizational coordination. Trained in mathematical statistics, he pairs rigorous quantitative thinking with practical infrastructure experience across Azure OpenAI, SageMaker, and serverless deployments. He’s drawn to the discipline of applied AI engineering—building systems that are not just impressive but maintainable, auditable, and trusted in real-world workflows.
5 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Mathematical Statistics, Bachelor of Science - BS, Mathematical Statistics at Ohio University
Contributions:2 PRs, 47 pushes, 5 branches in 2 years 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.