Career history

Leadership roles

1. Jun 2026 – Present

   AI Safety, Red-Teaming & Evaluation Consultant

   Self-employed · Remote

   Adversarial evaluation of frontier AI models for clients across high-consequence domains.

   • Conduct adversarial evaluations of frontier AI models for clients, systematically attempting to break safeguards and elicit unsafe, policy-violating, or unintended behavior.
   • Stress-test model capabilities to find where performance breaks down and where models exceed their intended limits, and run capability uplift studies measuring whether model access meaningfully increases a user's ability to carry out high-risk tasks.
   • Evaluate models across high-consequence domains, including biology, CBRN, cybersecurity, and medicine.
   • Translate every shortfall into concrete recommendations for model behavior, safeguards, and evaluation coverage, delivered as structured findings that feed directly into clients' model development and safety processes.
   • Clients and technical details are under NDA.

2. Jan 2026 – Jun 2026

   Employment

   Senior Director of Artificial Intelligence

   Frontier Design LLC · Charleston, SC

   AI products, data platform, and service structure for an AI consulting and proposal firm.

   • Architected and built a Claude-based proposal and whitepaper engine that parses a structured past-performance knowledge base, researches the target entity, runs a realism check, drafts in the firm's voice, and self-scores against an eight-dimension rubric.
   • Built the structured past-performance knowledge base and an LLM rubric autograder, validated with a study correlating scores across rubric categories.
   • Led the AWS project database and Salesforce build that replaced spreadsheet workflows, and standardized the firm's AI service offerings into productized packages.

   Case studies: An agentic proposal engine with its own evaluation layer

3. Aug 2020 – Jan 2026

   Employment

   Director of Artificial Intelligence

   ORBIS, Inc. · Charleston, SC

   Founded and led the AI function of a defense engineering and R&D firm, from strategy through production delivery.

   • Founded the AI department at one engineer and scaled it to ten core engineers; led cross-departmental programs of 30+ through the project managers under my direction, and worked directly with the C-suite on AI strategy, funding, and headcount.
   • Created proprietary, copyrighted AI/ML IP that supplied roughly 80% of ORBIS R&D revenue.
   • Procured and led three consecutive DoD contracts worth approximately $7M for AI radiographic defect recognition, approved for shipyard integration on submarine builds.
   • Designed, trained, and deployed locally secured LLMs for workflow control; led ship-state forecasting that achieved parametric-roll detection and removed roughly $10K of hardware per unit sold.
   • Rated 5/5 on performance for five consecutive years.

   Case studies: Founding and scaling an AI department · AI defect recognition approved for submarine-construction shipyards · Secure, locally deployed LLMs and the governance around them · Ship-state forecasting and a hardware cost removed