- Engineer, trained in computer science, who loves to build things. Currently pursuing Deep Learning for Computer Vision. - Scientist, with interests in related fields, who believes that science can help humanity and our planet. - Strategic thinker, leader and mentor who inspires mutual respect, enthusiasm for and enjoyment of work, and loyalty among engineers and scientists. - Technologist with vision to foresee novel solutions and who develops strategy and execution plan to translate the vision into reality. Technology leader who has worked in start-ups, research labs and product driven organizations. Critical contributor and inventor of breakthrough computer vision algorithms which can identify millions of objects, of statistical algorithms and of image classification technology. Expertise in Computer Vision, Visual Search, Image Recognition, Data Analysis, Statistics, Pattern Recognition, Machine Learning, Deep Learning, Information Retrieval, Big Data, Relevance Ranking and Data Compression. Have led technology innovation, built breakthrough products, filed for patents, supervised engineers, supervised PhD and Masters students, published in peer reviewed journals, taught in world class universities as visiting faculty. Experience in fast paced, goal driven and multidisciplinary settings. Have filed 20+ patents and published 30+ journal and conference papers in computer science, mathematics and statistics. Specialities: - Building big-picture in technology innovation and having resounding impact. - Leadership in R&D in Computer Science. - Facilitation of team work and communication. - Building and executing strategy to help organizations achieve innovation. - Creation of intellectual property and software products. - Specialization in Computer Vision and Machine Learning.

Co-Founder and CTO @ Building an innovative cutting-edge solution to a challenging practical problem. From 2015 to Present (less than a year) San Francisco Bay AreaFaculty Member, Data Science and Statistics @ Member of founding Faculty of Data Science at New College of Florida, the Honors college of Florida and a top public liberal arts college in the nation. Development of a world class Data Science program involving curriculum development, teaching, supervision of thesis and projects, research, and collaboration with industry. Research in Deep Learning and Computer Vision. Making computers "see". Responsible for the following courses: - Statistical Inference - Machine Learning - Deep Learning and Applications to Computer Vision - Relevance Ranking and Recommender Systems From 2015 to Present (less than a year) Sarasota, Florida Area

Simant Dube is skilled in: Algorithms, Machine Learning, Image Processing, Computer Vision, Computer Science, Pattern Recognition, Statistics, Digital Image Processing, R&D, Data Analysis, Software Development, Bioinformatics, Teamwork, Data Mining, Software Design, Embedded Systems, Software, Information Retrieval, C++