Stephen Pryor is a Senior Software Engineer with nine years of experience building front-end and conversational AI systems, currently contributing at Tubi after roles at Coinbase and Microsoft. He blends deep frontend architecture expertise—shaped by leading Azure IoT and open-source React projects—with hands-on work in semantic systems focused on natural language grounding and conversational understanding. Stephen’s background spans fast-paced consumer and cloud platforms, from designing internal investigation tools at Amazon to unifying ML portals at Microsoft, giving him a pragmatic, product-oriented engineering style. Based in the Greater Seattle area, he pairs a Masters in Computer Science from UT Austin with a track record of guiding code quality, performance, and maintainable architectures across teams. Notably, his career shows a consistent pivot toward language-centric systems, suggesting a long-term focus on making user-facing AI and conversational interfaces both robust and intuitive.
9 years of coding experience
9 years of employment as a software developer
Masters Computer Science, Masters Computer Science at The University of Texas at Austin
Bachelor of Science (Major) Computer Science (Minor) Mathematics, Bachelor of Science (Major) Computer Science (Minor) Mathematics at Arkansas Tech University
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