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.
Frameworks, decision criteria, and hands-on guidance for teams planning their next AI move.
AI scientist, strategic scholar, and founder of QNeura.ai.
Clients include Fortune 500 programmes, defence-adjacent organisations, and government-adjacent institutions. Engagements are conducted under NDA.
AI scientist and strategic scholar with twenty years of hands-on systems engineering. Graduate researcher in Defence and Strategic Studies at Missouri State University, with book-length work atrocity documentation under contested evidentiary conditions. 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.
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.