Capability Statement & Resume · GenAI Advisor / Analyst
GenAI Strategy · Advisory · Analysis · Applied AI Research
M.S. Artificial Intelligence, UTSA · MBA, University of Phoenix
Professional Summary
AI advisor and analyst with graduate research credentials in artificial intelligence (M.S., UTSA, 2026) and formal business training (MBA, University of Phoenix). DoW AI/IT contractor (AFLCMC, through September 2026) with hands-on experience across machine learning, explainable AI, and GenAI deployment. Operates a production multi-tenant AI platform with paying customers, spanning voice AI, field service automation, and mobile apps in the Apple and Google stores. Builds, evaluates, and explains production AI systems, then translates findings into clear guidance for technical and non-technical stakeholders. Track record spans federal acquisition environments, live commercial AI platforms, and classroom-validated research, anchored by a published analytical framework on AI ethics and human identity.
Core Skills
Professional Experience
ServiceNow Business Analyst – AFLCMC/HNCD, U.S. Air Force (Centurion) · Feb–Sep 2026
Deliver ServiceNow ITAM/HAM/SAM support for active DoW acquisition lifecycle management. Apply AI-adjacent process analysis to asset tracking and lifecycle reporting within a high-compliance federal environment. Concurrent with the ONSQ practice.
Principal & Founder – ONSQ Enterprises · 2025–present
Lead AI advisory engagements spanning strategy, machine learning, GenAI integration, and explainable AI for federal, commercial, and education clients. Operate the Ailura platform in production with paying customers: a 24/7 AI receptionist across voice, SMS, and web chat, a complete field service management system serving a live HVAC business, companion iOS/Android apps in the Apple and Google store pipelines, and Cheqer, a fully AI-enabled Bible word study app. Designed and deployed full-stack AI applications (Vigilant Spirit XAI Dream Journal) with SHAP/LIME explainability layers. Authored Image in the Machine, a published framework on AI ethics and human identity.
CTO – Doctor Marriage / Mapping Manhood · 2025–present
Direct AI tool integration and system architecture for a nationally distributed counseling education platform. Shipped an AI publishing plugin with live model discovery and an integrated image studio; the platform's regular content now runs through it.
Graduate Researcher – University of Texas at San Antonio · 2025–2026
Conduct graduate research in neural networks, spiking neural networks (96.95% accuracy at ~49% event retention), and explainable AI. Co-developed NeuroDriver, a browser-based driving simulator deployed with 97 middle school students; co-authored a paper submitted to ACM SIGCSE 2026.
Education
M.S., Artificial Intelligence
University of Texas at San Antonio, 2026
MBA
University of Phoenix
Research & Publications
Image in the Machine
AI, the Imago Dei, and What It Means to Be Human — ONSQ Enterprise Press.
Spiking Neural Network Study
Generic Internal Modulation for Event-Based SNNs — 96.95% accuracy at 48.96% event retention on N-MNIST.
ACM SIGCSE 2026 Submission
NeuroDriver classroom AI research, co-authored with Diego Rodriguez.
Vigilant Spirit XAI Dream Journal
Full-stack application with real SHAP and LIME explainability.
Key Strengths
Certifications & Clearances
CompTIA Security+ · ITIL Foundations · Azure Fundamentals (AZ-900) · Red Hat OpenShift · Google Project Management · DoDAF/TOGAF Fundamentals. Active Top Secret clearance.
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