About

Hiresh Gupta is a skilled software engineer with a strong focus on computer vision and deep learning techniques. He currently works at Adobe as a Software Development Engineer 2, where he is focused on customer-oriented research to make print documents reflowable by deploying several deep learning models in Automated Forms Conversion Service on Adobe Experience Manager (AEM). During his college years, Hiresh worked on various problems in the field of computer vision, including image segmentation, object localization, image captioning, image search, image super-resolution, and language translations. He is passionate about using his skills to solve real-world problems and is always looking for new challenges. Hiresh has a wealth of experience in the field of computer vision and deep learning. He has designed multiple neural network architectures to extract the hierarchical document structure by performing semantic segmentation on document form images. He has also worked on a deep learning-based visual product search, which segments different products in a wild query image and performs a search in a large catalog. His research on grid-based training of siamese networks was awarded the Best Paper Award at CVPR 2019 Workshop on Fashion and Subjective Search. Hiresh holds a Bachelor of Engineering degree in Computer Science from Birla Institute of Technology and Science, Pilani. He is a versatile professional with a strong background in software engineering, computer vision, research science, deep learning, search, image segmentation, neural networks, and data science. With 5.19 years of relevant experience, Hiresh is a valuable asset to any team.