Gautham Krishna Gudur is a machine learning engineer and researcher working on extracting actionable insights in healthcare (medical wearables) using artificial intelligence. He also does independent research at the intersection of applied machine learning/deep learning, physical activity sensing using sensors and wearable data, computer vision, and ubiquitous computing. Previously, he was a research assistant in the areas of gesture recognition, data science, and IoT at Chennai, India. He actively contributes to the research community by authoring and presenting research publications at renowned conferences around the world. During his undergraduate study, he was also an avid competitive programmer on online platforms such as HackerRank.

Armando Fandango creates AI-empowered products by leveraging his expertise in deep learning, machine learning, distributed computing, and computational methods, and has fulfilled thought-leadership roles as Chief Data Scientist and Director at start-ups and large enterprises. He has been advising high-tech AI-based start-ups. Armando has authored books titled Python Data Analysis - Second Edition and Mastering TensorFlow. He has also published research in international journals and conferences.