About the reviewers

David Y Aiello is an experienced DevOps engineer, having spent almost a decade implementing continuous integration and continuous delivery along with other software and system engineering projects. He has a background in Java, Python, Ruby, and C++, and has worked with AWS, including EC2, S3, and VPC, Azure DevOps, and GCP. He is currently working toward a degree in computer science and mathematics, with a focus on bioinformatics, and looks forward to furthering his career in the industry. Specifically, he is looking to become more involved in the fields of artificial intelligence, deep (machine) learning, and neural networks, and what they represent in terms of the future of computer science.

Devora Aiello forges her own path, like many other native New Yorkers. Since 2014, she has been studying physics, math, and software engineering, while simultaneously traveling abroad and immersing herself in other cultures. A coding enthusiast, Ms. Aiello has designed and implemented websites using Angular, HTML/CSS, and Bootstrap. She enjoys the challenges inherent in collaborating with users to create appealing and full-featured websites and keeps abreast of the latest tools and trends in IT. Additionally, Ms. Aiello is an active participant and assistant editor for the IEEE P2675 Working Group, which is developing the industry standard for DevOps.

Zaur Fataliyev is a machine learning engineer, currently residing and working in Seoul, South Korea. He received his BSc. in electrical engineering from KAIST, and an MSc. in computer engineering from Korea University, focusing on machine learning and computer vision. He has worked on various ML and CV problems over the years. He is interested in solving problems and making sense of data with learning algorithms. He loves open research, collaboration, contributing, and competitions. He also regularly participates in Kaggle competitions.