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.

Lavanya Thiruvali Sunderarajan is a seasoned EdTech Consultant and IT professional with over 20 years of experience in diverse domains, including Cyber Security, Cloud Application Development, Artificial Intelligence, and Data Science. A skilled software engineer, Lavanya has extensive expertise in software development across product-based and project-based companies, with a deep understanding of the Software Development Life Cycle (SDLC). She holds a Master of Science specializing in Data Science from Deakin University, Australia, and has a strong foundation in Agile methodologies and DevOps practices.Lavanya is a passionate educator and mentor, sharing her knowledge through courses such as ETL and Data Pipelines with Shell, Airflow, and Kafka, Getting Started with Git and GitHub, and multiple capstone projects focusing on Full Stack Application Development and JavaScript. Her dedication to integrating technology with education underscores her commitment to empowering learners and driving innovation in the EdTech space.