Summary
Nicholas Erhardt is a Senior Machine Learning Engineer with nine years of experience building and operating production ML systems at Procore Technologies from Carpinteria, CA. With a Physics degree and back-end engineering training, he specializes in MLOps—designing platforms, scaling image-classification pipelines that processed over a million images per month, and creating tooling that accelerates data scientists’ workflows. He has a pragmatic streak for simple, powerful developer tools (evident in a Python/Flask access app and SageMaker/EC2 environment work) and has led incident response, onboarding, and platform formation efforts. Colleagues rely on him to turn prototypes into reliable, maintainable services and to balance engineering rigor with fast, user-focused delivery.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at Northern Arizona University
Back-End Engineering, Back-End Engineering at Turing School of Software & Design