RAIC Labs
Herick Asmani is a Senior Machine Learning Engineer at Synthetaic since January 2020, where significant contributions to AI and machine learning projects have been made. In addition to this role, Herick serves as a mentor at DeepLearning.AI, providing guidance to learners enrolled in the Deep Learning Specialization since July 2024. Prior to these positions, Herick was a Machine Learning Fellow at Fellowship.AI from September to December 2019. Educational achievements include a Master of Science in Computer Science from the Illinois Institute of Technology (2017-2019), in addition to various specialized nanodegrees in Self Driving Car Engineering and Deep Learning from Udacity. An undergraduate degree in Electrical, Electronics and Communications Engineering was awarded from Dwarkadas J. Sanghvi College of Engineering (2012-2016), following Higher Secondary Education in Science at Mithibai College (2010-2012).
This person is not in any offices
RAIC Labs
1 followers
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.