Summary
Clayton Yochum is a Machine Learning Engineer with 11 years of hands-on experience spanning data engineering, data science, and ML, currently building models and systems at Abridge from Salt Lake City. He has a track record of turning ambiguous problems into production systems—examples include an ML-powered trading platform for a hedge fund, restructuring billions of IoT rows, and processing billions of GPS pings to detect fraud. Comfortable in small teams, Clayton excels where autonomy and rapid iteration are valued and has repeatedly built capabilities from scratch to scale. He blends software engineering rigor with data-science instincts—“software engineer masquerading as a data scientist” captures his pragmatic, cross-disciplinary approach. His background ranges from research labs and BI roles to staff-level engineering, giving him both product sensibility and deep operational experience with large datasets.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at Michigan Technological University