Dhruv Yadav is a founder and software engineer in the San Francisco Bay Area with nine years of experience delivering scalable AI and production ML systems. He is currently building a stealth startup, combining hands-on engineering with a passion for turning ambitious tech into practical reality. At Meta, he created pipelines to bring state-of-the-art ML models to production, and at Databricks he contributed to open-source GenAI model evaluation APIs and managed the prompt registry for Data + AI Summit 2025. A former Stanford researcher, he developed a deep-learning arterial segmentation model that sped up the task by two orders of magnitude and achieved a 93% dice score, accompanied by an open-source GUI (NArSeg). He also founded Code Spree to cultivate competitive programming, and his diverse experience spans CERN trainee work and early deep learning projects, reflecting curiosity across science and software. He holds a Computer Science degree from the University of Washington and continues to pursue ambitious, boundary-pushing projects in AI and beyond.
9 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at University of Washington
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