RAIC Labs
Can Zhong is an AI/ML Engineer at RAIC Labs, where responsibilities include utilizing Azure DevOps and Azure Cloud Services to enhance a core product for rapid data insights and leading the development of an edge product used by the Federal Emergency Management Agency. Previous experience includes a Software Engineer Intern role at Windhover Labs, focusing on integrated development environments and design best practices, as well as academic research under Dr. Lingfeng Wang at the University of Wisconsin-Milwaukee. Additionally, Can Zhong worked at Costco Wholesale as a Hadoop Systems Administrator Intern, maintaining Hadoop clusters and addressing user issues, alongside experience as a Forklift Operator. Can Zhong holds a Bachelor of Applied Science in Computer Science from the University of Wisconsin-Milwaukee.
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RAIC Labs
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We've rebranded, Synthetaic is now RAIC Labs! Quickly derive insights from large, unlabeled geospatial, video, and image datasets without time-intensive human labeling or pre-built models. Rapid Automatic Image Categorization (RAIC) is an unbiased tool that meets users’ ever-changing analytic demands for their perpetually evolving datasets, in an unrivaled timeline. RAIC enables users to find and classify anything in minutes, not months, without labeled data. Simply provide a single example object image and RAIC will find similar objects in your unlabeled dataset and return contextually-related results. You can then improve the AI by identifying the best results through an intuitive human nudge tool. From there, you can run inference jobs and turn results into insights using dashboarding tools or existing analytics platforms.