Paul Guerrie is the CTO and co-founder of FlowerBuddy in Boulder, bringing a rare blend of product leadership and hands-on machine learning engineering to the event-florist space. He previously led ML efforts at Roboflow, contributing to the widely used supervision library by modernizing examples and streamlining inference model integration. Before that he served as a research scientist at Lockheed Martin, designing navigation and missile-warning algorithms and shipping production software in C/C++ and Python for real-time, constrained systems. He holds a MS and BS in Aerospace Engineering from CU Boulder and uses that systems-thinking background to bridge low-level engineering with customer-facing product work. Known for translating research-grade models into maintainable production pipelines, he excels at turning complex technical constraints into practical features for small businesses.
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Role in this project:
ML Engineer
Contributions:1 PR, 4 pushes, 1 branch in 7 days
Contributions summary:Paul primarily contributed to adding and updating examples within the `supervision` repository, focusing on the integration with inference models. They updated existing examples to incorporate the `inference` package and adjusted code to work with a `BaseModel` type. Furthermore, the user addressed feedback, including deprecating a method and refactoring code for improved compatibility. The overall focus of their work seems to be streamlining the usage of inference models within the supervision library.
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