Summary
Matthew Drozt is an ML/AI software engineer at Hewlett Packard Enterprise - Cray with seven years of experience building production-ready machine learning infrastructure. As a core developer on SmartSim and SmartRedis, he focuses on bridging HPC environments and modern ML workflows to enable scalable simulation-coupled learning. Based in Seattle, he advanced from software engineering intern to full-time engineer at HPE, bringing practical knowledge of distributed systems and high-performance computing. A Purdue Computer Science graduate, he combines hands-on C/S engineering with open-source collaboration, often working at the intersection of performance optimization and developer-facing tooling. Notably, his work helps researchers run tightly coordinated simulations and inference at scale, reducing the friction between ML experimentation and supercomputing resources.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Purdue University