About

Dilip Thomas is an accomplished independent consultant with over 11 years of experience in the field of deep learning for computer vision, machine learning, and geometry processing. He holds a Ph.D. and Master's degree in Computer Science and Engineering from the prestigious Indian Institute of Science, Bangalore. Dilip's expertise lies in data analysis through geometric and topological methods for data exploration, feature extraction, and visualization. He has worked on several deep learning-based projects such as fine-grained classification, object detection, segmentation, and text recognition with startups. As a consultant, Dilip is currently prototyping projects related to deep learning and machine learning. He has previously worked as a Senior Software Engineer at Philips Medical System and as a Computer Scientist at Adobe Research Lab, where he explored research use cases for Adobe's digital marketing portfolio. Dilip's research focus has been on topological data analysis, which has proven to be a powerful tool for gaining structural insights about data by exploring the "shape" of the data. He is interested in applying topological methods in the context of big data and high-dimensional data. Dilip's technical skills include computer vision, deep learning, machine learning, research scientist, object detection, big data, and software engineering. He is a highly motivated and accomplished professional who is passionate about solving complex problems through innovative solutions.