Kyle is part of the AI Factory team at Lockheed Martin, where he is working to streamline the deployment of AI and ML processes through the development of ML Ops pipelines. He is a graduate of the Engineering LDP (ELDP) and is an experienced Software Developer with a background in machine learning, mixed reality development, and full stack web application architecture.

Prior to his current role he worked for the Advanced Visualizations team, where he developed 3d mobile apps, computer generated films, and VR applications which toured the country at events such as National Space Symposium and the International Astronautical Conference.

Kyle has worked as a technical lead on Space Analytics Capital Projects, where he designed and developed full stack web applications, DevOps pipelines, OAuth2 authentication implementations, and cloud deployments to make data more accessible for analysis and research. He has also implemented machine learning techniques and predictive analytics to provide insight on a variety of use cases through tools like Python, Jupyter Notebooks, and SAP PA.

Kyle supported Lockheed Martin in the Rotary and Mission Systems, Signal Reconnaissance program where he performed Sigint software development for desktop applications using Python, Qt, and C++. He also supported EBS Infrastructure Health Management where he developed automated software solutions for the management of enterprise resources and credentials, the expansion of the Automated Response Manager (ARM), and the migration of client application monitors from BAC to SCOM.

Prior to working at Lockheed Martin, Kyle worked for a small contractor as a web developer where he created web applications for enterprise clients using ASP.NET, C#, and Sitefinity.

Kyle is pursuing his Masters in Computer Science from GeorgiaTech and is a graduate from Metropolitan State University with a B.S. in Computer Science. He graduated Summa Cum Laude. He also holds a second B.S. in Sports Medicine from Colorado State University.