Forecasting Risk using CICD and Machine Learning
The software development process does not have a singular formula for success. There are many factors that influence this process such as code management, quality analysis, testing strategies to name a few. Pinpointing the features that correlate to the success of a deployment are subjective to a developer’s personal style of software engineering and testing. I will be presenting a project that implemented a machine learning component to analyze build features and gauge them against a pool of build records from a project and organization perspective.
Omari S. Felix, a DevOps Engineer at Capital One where he implements DevOps tools and guide teams on utilizing techniques designed to improve their software development and delivery. A graduate from Virginia State University and attended N.C. A&T State University. He has experience in multiple technology spaces include mobile development, automation, and machine learning to name a few.