Summary
Josiah Laivins is a machine learning engineer with 9 years of hands-on experience building production computer vision systems and deployment tooling for manufacturing and robotics. He has led engineering teams and co-architected Spyglass Visual Inspection, a service-oriented framework for deploying and updating models on semi-connected factory devices with zero-downtime releases. At Invisible AI he delivered a modular data pipeline and custom labeling tool on a two-week pilot timeline, and implemented post-processing for state-of-the-art CV models including C++ components. Comfortable across the stack, he designs versioned, packaged tooling that extends cloud platforms (Azure) while managing fleets of Linux machines on live production lines. Josiah combines academic training (MS/BS in Computer Science) with practical IoT and robotics experience, and is driven by applying AI to tangible automation problems rather than purely theoretical work. A detail that often goes unnoticed: he balances rapid prototyping under tight timelines with disciplined engineering practices like packaging, auto-documentation, and versioned deployments.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of North Carolina at Charlotte
High School, GED, 3.3, High School, GED, 3.3 at Guilford Technical Community College
High School, GED, 4.0, High School, GED, 4.0 at Central Ohio Technical College
English