About the authors

Rajesh Arumugam is an ML developer at SAP, Singapore. Previously, he developed ML solutions for smart city development in areas such as passenger flow analysis in public transit systems and optimization of energy consumption in buildings when working with Centre for Social Innovation at Hitachi Asia, Singapore. He has published papers in conferences and has pending patents in storage and ML. He holds a PhD in computer engineering from Nanyang Technological University, Singapore.

I would like to thank my wife Priya and my wonderful children: Akash and Akila for their support and understanding while writing this book. Special thanks to Raja for providing the opportunity to co-write this book.

Rajalingappaa Shanmugamani is a deep learning lead at SAP, Singapore. Previously, he worked and consulted at various start-ups for developing computer vision products. He has a masters from IIT Madras, where his thesis was based on applications of computer vision in manufacturing. He has published articles in peer-reviewed journals and conferences and applied for a few patents in ML. In his spare time, he teaches programming and machine learning to school students and engineers.

I thank my spouse, Ezhil, my family, and friends for their immense support. I thank all the teachers, colleagues, managers, and mentors from whom I have learned a lot.

Karthik Muthusamy works for SAP, Singapore, as an ML researcher. He has designed and developed ML solutions for problems ranging from algorithms that guide autonomous vehicles to understanding semantic meanings of sentences in documents. He is currently a Google Developer Expert in ML. He gives talks and conducts workshops on ML for the developer community with an aim of reducing the entry barriers to developing ML applications. He graduated from Nanyang Technological University, Singapore, with a PhD in computer engineering.

Chaitanya Joshi is working towards obtaining a bachelor's in Computer Science from Nanyang Technological University in 2019. He has experience in building deep learning solutions for automatic accounting at SAP, Singapore, and conversational chatbots at Evie.ai. He is also a research assistant with the dialog systems group at Laboratory of Artificial Intelligence, Swiss Federal Institute of Technology, Lausanne (EPFL). His research at EPFL was recently published the Conference on Neural Information Processing Systems (NIPS 2017) in Los Angeles.

I would like to thank all my mentors and colleagues over the years for guiding me in my endeavors and patiently answering my questions.

Auguste Byiringiro is an ML developer at SAP, Singapore, in the cash application team. Previously, he mainly worked in healthcare. At GE Healthcare, he built deep learning models to detect diseases in CT images. Then at Fibronostics, a start-up focused on non-invasive medical diagnosis, he heavily contributed to two products: LiverFASt, an ML-based tool to diagnose fatty liver disease, and HealthFACTR, a data-driven algorithm used by Gravity-Fitness First in Singapore to optimize the fitness, diet, and long-term health of its members.

I would like to thank Raja Shanmugamani, who gave me the opportunity to contribute to this book, as well as all the people who supported me while I was co-writing the book.

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About the authors