About the Reviewers

Ankit Dixit is a data scientist and computer vision engineer from Mumbai, India; He has a B.Tech in biomedical engineering and a master's degree in computer vision specialization. He has been working in the field of computer vision and machine learning for more than 6 years.

He has worked with various software and hardware platforms for design and development of machine vision algorithms and has experience of machine learning algorithms such as decision trees, random forest, support vector machines, artificial neural networks, and deep neural networks. Currently, he is working on designing computer vision and machine learning algorithms for medical imaging data for Aditya Imaging and Information Technologies (part of Sun Pharmaceutical Advance Research Center), Mumbai. He does this with the use of advanced technologies such as ensemble methods and deep learning based models.

Ruben Oliva Ramos is a computer systems engineer with a master's degree in computer and electronic systems engineering, teleinformatics and networking, specialization from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience in developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, and using web frameworks and cloud services to build the Internet of Things applications.

He is a mechatronics teacher at the University of Salle Bajio and teaches students of  the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 in Leon, teaching subjects such as electronics, robotics and control, automation, and microcontrollers.

He is a technician, consultant, and developer of monitoring systems and datalogger data using technologies such as Android, iOS, Windows Phone, HTML5, PHP, CSS, Ajax, JavaScript, Angular, ASP .NET databases (SQlite, MongoDB, and MySQL), web servers, Node.js, IIS, hardware programming (Arduino, Raspberry Pi, Ethernet Shield, GPS, and GSM/GPRS), ESP8266, and control and monitor systems for data acquisition and programming.

He has written a book for Internet of Things Programming with JavaScript, Packt.

Juan Tomás Oliva Ramos is an environmental engineer from the University of Guanajuato, with a master's degree in administrative engineering and quality. He has more than 5 years of experience in the management and development of patents, technological innovation projects, and the development of technological solutions through the statistical control of processes.

He is a teacher of statistics, entrepreneurship, and the technological development of projects since 2011.  He has always maintained an interest in the improvement and innovation in processes through technology. He became an entrepreneur mentor and technology management consultant, and started a new department of technology management and entrepreneurship at Instituto Tecnologico Superior de Purisima del Rincon.

He has worked on the book Wearable designs for Smart watches, Smart TV's and Android mobile devices. He has developed prototypes through programming and automation technologies for improvement of operations that have been registered for patents.

Prashant Verma started his IT career in 2011 as a Java developer at Ericsson, working in the telecoms domain. After a couple of years of Java EE experience, he moved into the big data domain, and has worked on almost all the popular big data technologies such as Hadoop, Spark, Flume, Mongo, Cassandra. He has also played with Scala. Currently, he works with QA Infotech as a lead data engineer, working on solving e-learning problems with analytics and machine learning.

Prashant has worked for many companies with domain knowledge of telecom and e-learning. He has also worked as a freelance consultant in his free time. He has worked as a reviewer on Spark For Java Developer.