Summary
Matthew Sparr is an ML engineer with 11 years of software and data experience, currently building production-ready machine learning systems and products in Los Angeles. He holds an MS in Artificial Intelligence and a BS in Data Science, and has applied that blend of research-oriented training and practical engineering at O'Reilly, Collectors, TinyFish, and earlier roles in software and automation. Matthew pairs hands-on model design and Python engineering with mentoring experience from Flatiron School, where he coached aspiring data scientists and helped them ship portfolio projects. His background spans the full ML lifecycle—from experiment to deployment—and he’s comfortable moving between education, product, and infrastructure contexts to operationalize models. Notably, he has a track record of helping teams secure senior roles and scale ML efforts across diverse domains.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Data Science and Data Analytics, Bachelor of Science - BS Data Science and Data Analytics at Thomas Edison State University
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at IU International University of Applied Sciences