Vinoth Kannan is a solution architect at WidasConcepts, Germany, that focuses on creating robust, highly scalable, real-time systems for storage, search, and analytics. He now works in Germany after his professional stints in France, Italy, and India.
Currently, he works extensively with open source frameworks based on Storm, Hadoop, and NoSQL databases. He has helped design and develop complex, real-time Big Data systems for some of the largest financial institutions and e-commerce companies.
He also co-organizes the Big Data User group in Karlsruhe and Stuttgart in Germany, and is a regular speaker at user group meets and international conferences on Big Data. He holds a double Master's degree in Communication Systems Engineering from Politecnico di Torino, Italy, and Grenoble Institute of Technology, France.
Sonal Raj is a Pythonista, technology enthusiast, and an entrepreneur. He is an engineer with dreams. He has been a research fellow at SERC, IISc, Bangalore, and he has pursued projects on distributed computing and real-time operations. He has spoken at PyCon India on Storm and Neo4J and has published articles and research papers in leading magazines and international journals. Presently, he works at Sigmoid Analytics, where he is actively involved in the development of machine-learning frameworks and Big Data solutions.
Danijel Schiavuzzi is a software engineer and technology enthusiast with a passionate interest in systems programming and distributed systems.
Currently, he works at Infobip, where he finds new usages for Storm and other Big Data technologies in the telecom domain on a daily basis. He has a strong focus on real-time data analytics, log processing, and external systems monitoring and alerting. He is passionate about open source, having contributed a few minor patches to Storm itself.
In his spare time, he enjoys reading a book, following space exploration and scientific and technological news, tinkering with various gadgets, listening and occasionally playing music, discovering old art movie masterpieces, and enjoying cycling around beautiful natural sceneries.