Orion Weller is a PhD candidate and graduate research assistant at Johns Hopkins University with eight years of research and engineering experience focused on language models, retrieval, and long-context embeddings. He has interned at top AI labs including Meta FAIR, Google DeepMind, and AI2, contributing to work published at EMNLP, ACL, EACL, and ICLR (notably on the first promptable retrieval models). Orion blends academic rigor with applied research—advisors include Ben Van Durme and Dawn Lawrie—and has a track record of shipping research during industry internships at Apple and Samaya AI. Based in Baltimore, he brings a rare combination of deep NLP expertise and practical system-building across both academic and industrial settings.
8 years of coding experience
2 years of employment as a software developer
Johns Hopkins University
Bachelor of Science - BS Computer Science Statistics, Bachelor of Science - BS Computer Science Statistics at Brigham Young University
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