Machine Learning techniques such as Contextual Analysis and Natural Language Processing prove well to improve the quality and efficiency of a digital workflow. These are intelligent procedures that take the place of repetitive human judgement and provide insight into any activity that produces data. I develop the algorithms and software as aides for the work that we perform. My method has options for scripted and compiled languages within a hybrid operating system. A preferred framework is Node.js while Java & JavaScript, Perl and a bit of Python are often the picks for development. We like scalability and to reach deep data analysis using parallel and distributed computing infrastructures. It has been beneficial holding and contributing to the prevailing HTML, CSS and XML standards. I am currently focused on the publishing industry to automate the editorial workflow within digital production systems. My clients are news producers, syndicators and broadcasters such as The Christian Science Monitor, Hearst Corporation, World Now and PR agency Cision, Inc.