Okareo
Mason del Rosario is a highly skilled machine learning engineer with a comprehensive background in software engineering and applied AI research. Currently serving as a Founding Machine Learning Engineer at Okareo since February 2024, Mason previously worked as a Software Engineer and Research Scientist in machine learning at TruEra, where significant contributions were made to backend services and testing for ranking and recommendation models. Mason's academic qualifications include a PhD and Master's Degree in Electrical and Computer Engineering from the University of California, Davis, complemented by a Bachelor's Degree in the same field from Franklin W. Olin College of Engineering. With hands-on experience as a Graduate Student Researcher and various engineering roles at notable companies such as Tesla and DeepSig, Mason has developed a robust understanding of deep learning, system integration, and durability testing.
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Okareo
Okareo helps ML builders evaluate and compare performance of models during development, testing and delivery. Okareo automates the mechanics of model testing and evaluation to ensure reliable models go to production. Teams using Okareo gain domain specific benchmarks and broad behavior coverage through generation of evaluation scenarios. Okareo is built for developers, product managers and subject matter experts with a simple user interface and easy to use APIs. We help companies to deploy ML across more of their applications and to get faster to reliable LLMs, RAG, and broader NLP technology.