Applied research and advisory work at the intersection of artificial intelligence, strategic studies, and institutional decision-making. Engagements draw on strategic studies, twenty years of production AI engineering, and direct experience in high-consequence geopolitical environments. Technical scope includes LLM systems, RAG architectures, agentic workflows, and quantum machine learning.
From strategy and architecture to hands-on delivery. I help post-seed startups build production AI systems that actually work.
Define your AI roadmap, evaluate build-vs-buy decisions, and architect systems that scale with your business.
Production-grade retrieval-augmented generation pipelines with proper evaluation, guardrails, and observability.
Tool-integrated reasoning agents that perform real tasks. Multi-step workflows with proper error handling.
Applied quantum computing and quantum machine learning for research, prototyping, and advanced computational workflows.
Applied analysis for complex geopolitical environments, dual-use technology strategy, and AI-enabled policy questions.
Choose the model that fits your stage, timeline, and technical ambition.
Perfect for: Urgent decisions around your first AI hire, reviewing technical approaches, or pressure-testing a specific problem.
What you get: A focused one-hour session tackling your current AI challenge, with preparation based on the materials you share in advance.
Perfect for: Companies with existing AI initiatives that need a sharp assessment of the current state and a realistic plan for next steps.
What you get: A structured review, gap analysis against best practices, and a roadmap aligned with your team capacity and business goals.
Deliverables: Written assessment, prioritized roadmap, technology recommendations, and team-structure guidance.
Perfect for: Well-scoped projects where you need expert execution while building your team’s capacity to maintain the result.
What you get: Direct collaboration to deliver working systems such as RAG pipelines, computer vision workflows, multimodal products, or LLM fine-tuning.
Approach: Fixed-fee project or milestone engagements with knowledge transfer built in throughout.
Perfect for: Startups that need executive-level AI leadership without committing to a full-time hire too early.
What you get: Strategy, hiring, architecture, and hands-on delivery across LLM/RAG, agentic systems, and quantum/QML initiatives with production-grade guardrails.
Commitment: Monthly retainer, typically one to two days per week embedded.
Perfect for: Teams that want to ship native macOS AI applications instead of limiting themselves to browser-only tools.
What you get: End-to-end Apple Silicon app development with local and cloud model support, offline-first workflows, and release-ready packaging.
Scope: Desktop UX, model integration, performance optimization, packaging, and launch support.
AI scientist, strategic scholar, and founder of QNeura.ai.
Clients include Fortune 500 programmes, cyber / defence-adjacent institutions. Engagements are conducted under NDA.
AI scientist and strategic scholar with twenty years of hands-on systems engineering. Doctoral researcher in Defence and Strategic Studies at Missouri State University, with book-length research on strategic risk, atrocity documentation, and the ethics of emerging technology. Founder of QNeura.ai, advising technology companies and institutional clients on production AI systems and the geopolitical dimensions of advanced technology. AIMO-2 Gold Medalist.
Frameworks, decision criteria, and hands-on guidance for teams planning their next AI move.
Reach out to discuss your AI roadmap, evaluate vendors, or get hands-on help shipping production systems.
From strategy to production. AI systems that work, not just demos.