RAIC Labs
Chaitrali Kshirsagar is a seasoned machine learning engineer currently serving as a Senior Machine Learning Engineer at QuantumScape since July 2024 and as an AI/ML Advisory Board Member at DevNetwork since August 2023. Previously, Chaitrali held various roles at Synthetaic from February 2021 to July 2024, including Senior Machine Learning Engineer, Machine Learning Engineer, and Associate Machine Learning Engineer. Earlier experience includes working as a Deep Learning Engineer at Nikon Research Corporation of America from July 2020 to January 2021, and as a Software Engineer Intern in Computer Vision at Point One Navigation and a Computer Vision/Machine Learning Intern at Blue River Technology. Chaitrali began the career as a Graduate Engineer at Vodafone Global Enterprise and completed an internship at Integra Labs. Academic credentials include a Master of Science in Electrical and Electronics Engineering from the University of Southern California and a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from Maharashtra Institute of Technology.
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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.