Upkar Lidder serves as a senior software engineer at IBM, bringing over a decade of experience in IT development, including significant roles in team management and technical leadership. His expertise spans full-stack technology, with a current focus on Machine Learning and Artificial Intelligence. As an active member of the tech community, he regularly shares his knowledge through speaking engagements at conferences and participation in local tech groups and meetups. His technical portfolio includes extensive work with serverless applications, Apache OpenWhisk platform, and various aspects of cloud-native development. After completing his graduate studies in Canada, he now resides in the United States, where he contributes to IBM's developer initiatives while also serving as an instructor for numerous courses in web development, DevOps, and mobile application development using Flutter and Dart.

Yan Luo serves as a Data Scientist and Developer at IBM Canada, where he applies his expertise in machine learning and artificial intelligence to develop innovative cognitive applications across diverse domains including software repository mining, personalized health management, wireless networks, and digital banking. After earning his Ph.D. in Machine Learning from the University of Western Ontario, he has contributed significantly to technical education through developing and teaching multiple data science courses, including Applied Data Science Capstone, Machine Learning Capstone, and Introduction to R Programming for Data Science. His work focuses on practical applications of AI and cognitive computing, bridging the gap between theoretical machine learning concepts and real-world business solutions.