Ratan Immidisetti is a skilled machine learning professional with a robust background in research and engineering. Experience includes serving as a Research Intern at techsophy, where a model was trained for number plate detection and recognition, and at HP, enabling machine learning capabilities for printers. As a Research Assistant at North Carolina State University, Ratan focused on deep learning models for semantic segmentation of Arabidopsis seedlings. Following this, Ratan worked as a Machine Learning Engineer II at Precision Sustainable Agriculture, concentrating on domain adaptation and semi-supervised learning. Additionally, Ratan held positions at Accenture as an Advanced Application Engineering Analyst and Senior Analyst, where intelligent solutions for clinical data management were developed. Recently, Ratan worked at Amazon in both Applied Scientist and Applied Scientist Intern roles, contributing to product classification efforts. Academic credentials include a Master's degree in Computer Science from North Carolina State University and a Bachelor of Technology in Computer Science from Shanmugha Arts, Science, Technology & Research Academy (SASTRA).
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