Sean Kirmani is an AI researcher and Member of Technical Staff based in San Francisco with 11 years of experience building vision, language, and embodied systems for robotics and large-scale AI. He has driven research and production deployments from stealth labs to Google DeepMind and OpenAI, leading robot world modeling and core contributions to Gemini while shipping vision-language models for Everyday Robots. His background blends hands-on engineering (front-end contributions to open-source projects like the Daemo crowdsourcing platform) with deep research in perception, mapping, and social navigation from his time at UT Austin. Comfortable moving systems from prototype to production, he pairs robotics field experience—camera and lidar detection, segmentation, and relighting—with research leadership across industry moonshots. Known for bridging product-driven engineering and foundational research, he brings a practical focus to advancing embodied AGI.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at The University of Texas at Austin
Contributions summary:Sean contributed primarily to the front-end development of the Daemo crowdsourcing platform. Their work involved creating and modifying contributor pages, including adding a new contributor with a detailed profile. They also integrated the new contributor's route within the application's routing configuration. Furthermore, the user made minor adjustments to the project's settings file.
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Sean Kirmani - Member Of Technical Staff at OpenAI