As a member of Gradle's data platform team, I strive to make users' builds faster and more reliable by leveraging data and offering advanced features, such as the ML-based predictive test selection.

Teaching the Artificial Intelligence course at the Davis College of Business and Technology.

Developed data science applications that utilize a Big Data Platform (Spark) to provide an industrial strength, cutting-edge virtual analytics lab where clients can source data, execute queries, create advanced analytics and machine-learning models in real time.• Responsible for using a variety of data mining and analysis methods, algorithms and tools to implement analytic and machine learning models• Uses a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. • Drives business results with data-based insights and discovers solutions hidden in large data sets improve business outcomes.

Architected, developed and supported cloud-based solutions and infrastructure components for Black Knight's Origination Technologies division, utilizing serverless technologies.• Cloud Computing with Amazon Web Services (AWS)• Serverless Java applications• Artificial Intelligence

This book explores the world of genetic algorithms and demonstrates, using working Python examples, how they can be used to solve search, optimization, and AI-related tasks, as well as improve machine learning models.Book available on Amazon at: https://www.amazon.com/dp/1838557741/Overview: https://www.infoq.com/articles/book-review-handson-genetic-algorithms/Code: https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python

Developed Web and Business-to-Business enterprise applications and microservices for health information exchange between health care providers and health plans, utilizing various Java technologies, web services and Agile methodology.

Developed billing servers, applications servers, Voice over IP and Calling Card applications for various service providers.

Principal in a $1.2M/year, 8 person, employee owned and operated Independent Software Vendor (ISV) which developed and delivered prepaid calling applications for soft-switches that targeted VoIP service providers operating outside of the United States. JTA was successfully sold to a publicly traded company.

Managed a team of software engineers developing Next Generation IP Telephony modules, including a VoIP signaling gateway, a media server and a voice application server.