Swiftly build high-performance Artificial Intelligence (AI) models using Python
Kunal Sawarkar
BIRMINGHAM—MUMBAI
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Kunal Sawarkar is a Chief Data Scientist and AI thought leader. He currently leads the worldwide AI Build Labs for crafting innovative products. In the past, he has built multiple AI Product labs from scratch & led products to hyper-growth. He holds a Master's degree from Harvard University with major coursework in Applied Statistics. He has been applying Machine Learning to solve previously unsolved problems in industry & society, with special focus on Deep Learning. He has 20+ patents and published papers in this field. He also serves as an Advisory Board Member and as an Angel Investor focused on Sustainability via AI.
When not diving into data, he enjoys rock climbing and learning to fly apart from continuing his incessant curiosity in astronomy and wildlife.
Shivam R Solanki is a senior data scientist living at the interstice of business, data and technology. He earned his Master's degree from Texas A&M University with a major coursework in Applied Statistics. He is passionate about solving business problems through the application of Statistics, Machine Learning and Deep Learning.
Amit Joglekar is an experienced Machine Learning Engineer with strong focus on design. He is passionate about learning new technologies and thoroughly enjoy programming in Cloud Native Technologies and Deep Learning.
"We would like to pay our respect to Alan Turing for initiating humanity's endeavor towards Turing Machines (what we call Computers today) and for inventing this field by publishing first paper on Artificial Intelligence. Furthermore, Deep Learning would have been impossible without the founding fathers like Yann LeCun and Geoffrey Hinton who brought sea change in the capabilities of AI"
~Authors~
Dheeraj Arremsetty
Aditya Oke is a software engineer and a Deep Learning practitioner. He completed his undergraduate degree in computer science. He is a contributor to the Torchvision and Lightning Bolts libraries. He has experience in computer vision and autonomous vehicles.
Ashwini Badgujar is a machine learning engineer at Impulselogic Inc. She has been involved in the machine learning domain for the last 3 years. She has research experience in Natural Language Processing and computer vision, specifically neural networks. She has also worked in the earth science domain, working on a number of earth science projects in collaboration with machine learning. She has worked at NASA in data processing and fire project analysis in calculating mixing heights, and at Comcast, where she worked on optimizing machine learning models.
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