South Puget Sound Area, WA 98327
U.S. Army veteran with 20 years of leadership and a DoD Secret clearance, transitioning from a distinguished career in music performance and instruction to Information Technology. Holding CompTIA Network+, AWS Cloud Practitioner, and Certified Entry-Level Python Programmer certifications, with hands-on Washington Vets-to-Tech training, I’m eager to deliver secure, compliant IT support in dynamic, mission-critical environments, ensuring seamless operations and exceptional customer service.
IT Trainee, Cybersecurity | August 2025–Present
IT Trainee, Server and Cloud Administration | May 2025–August 2025
Saxophonist/Library Manager/Security Manager/Operations Manager | October 2013–June 2025
Saxophone Instructor/Writer | July 2009–October 2013
Saxophonist/Library Manager | February 2006–June 2009
AIT Student | 2005–2006
Graduate Teaching Assistant | August 2000–April 2004
Volunteer | September 2016–Present
Washington Vets-to-Tech Cybersecurity Certificate | Expected December 2025
Saint Martin’s University, Lacey, WA
Relevant Coursework: CSC 325 – Computer Security, CSC 364 – Cybersecurity Threat Intelligence
Washington Vets-to-Tech Server and Cloud Application Certificate | August 2025
Saint Martin’s University, Lacey, WA
Relevant Coursework: CSC 160 – Introduction to Computer Software, CSC 330 – Networking and Server Fundamentals, CSC 395 – Applied Network Concepts, CSC 331 – Windows Server Configuration and Management, CSC 235 – Introduction to Linux & Linux Administration, CSC 456 – Configuring & Deploying Cloud Technology
Doctor of Musical Arts, Performance | December 2005
University of Iowa, Iowa City, IA
Master of Music, Performance | July 1999
Bachelor of Music, Performance and Pedagogy | April 1997
Brigham Young University, Provo, UT
Subnet Calculator | Python
Developed a Python tool to automate IPv4 subnet calculations, streamlining network troubleshooting tasks
Hosted on GitHub: Link
Demonstrates coding, documentation, and process optimization
Tempo Finder | Python
Developed a Python tool using a binary search algorithm to identify optimal practice tempos (30–240 bpm) for musicians, achieving O(1) efficiency and reducing trial-and-error
Planned web interface to input tempos and track progress, applicable to IT automation tasks
Hosted on GitHub: Link
Showcases algorithmic problem-solving and user-focused solutions