Arjun Sundararajan

Arjun Sundararajan has a diverse work experience that spans various roles and companies. Arjun is currently serving as the Founder/CEO of Zync, a customizable event platform that offers interactive and engaging events for diverse audiences. Prior to that, they founded AarvaLabs, an incubator supporting the development of tech and business ideas, where they launched the interactive collaboration tool, Mydawn. Arjun also worked as the Co-Founder, CTO, and Head of Product at Ambit Analytics, a company that helps leaders build collaborative teams through insights on communication. Arjun was an Entrepreneur-In-Residence at SRI International, a renowned research institute, where they actively contributed to the establishment and launch of ventures. Arjun also had experience working at Foursquare as a Product Engineer and at Microsoft as a Product Engineer for Bing Maps Routing Team. During their time at Microsoft, they developed a real-time notification engine for traffic and route information. Arjun's work experience showcases their multidisciplinary skills and entrepreneurial spirit.

Arjun Sundararajan's education history includes obtaining a Bachelor of Engineering (BE) degree in Computer Science from the University of Madras, from 2000 to 2004. Following that, they pursued a Master of Science (MS) degree in Computer Science with a focus on Human-Computer Interaction (HCI) at the University of Minnesota, from 2004 to 2006.

Furthermore, Arjun has acquired several additional certifications. In August 2020, they completed the course "Introduction to Psychology" at Yale University. In July 2020, they obtained a certification as an Emotional Intelligence (EQ) Practitioner from Udemy.

Arjun also has several certifications in the field of neural networks and deep learning. In November 2017, they achieved certifications from Coursera for completing courses such as "Neural Networks and Deep Learning," "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Structuring Machine Learning Projects."

It is important to note that no strong assumptions have been made beyond the provided information, and the education history is accurately represented based on the given chronological information.