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) and formal business training (MBA, University of Phoenix). Active DoW AI/IT contractor with hands-on experience across machine learning, explainable AI, and GenAI deployment. 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, enterprise AI platforms, and classroom-validated research, anchored by a published analytical framework on AI ethics and human identity.
Core Skills
Professional Experience
AI/IT Contractor – AFLCMC/HNCD, U.S. Air Force [start–present]
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.
Principal & Founder – ONSQ Enterprises [start–present]
Lead AI advisory engagements spanning strategy, machine learning, GenAI integration, and explainable AI for federal, commercial, and education clients. Designed and deployed full-stack AI applications (Ailura AI platform, 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 [start–present]
Direct AI tool integration and system architecture for a nationally distributed counseling education platform. Design AI-augmented content workflows and oversee technical delivery.
Graduate Researcher – University of Texas at San Antonio [expected 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 — expected 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
[add relevant certifications — e.g., ServiceNow, cloud AI/ML platforms — and security clearance status if applicable]
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