AI evaluation specialist and design engineer working at the seam between frontier models and physical systems.
As a frontier model evaluator across OpenAI, Alphabet, Hugging Face, and Microsoft, I specialise in adversarial red-teaming, failure-mode taxonomy, and rubric design for reasoning and long-form tasks. A quarter of a million completed evaluations, 98%+ approval sustained across four platforms.
As a design engineer, I work on physical vapour deposition systems - designing sputtering equipment, vacuum components, and the surrounding mechanical hardware - with self-educated fluency in plasma physics, sputter deposition, and ultra-high vacuum engineering. I also own the technical and safety documentation for these systems, written to ANSI Z535.6 and EN/IEC 82079-1 standards.
The overlap - evaluating AI on physical, technical, and engineering tasks where domain fluency is uncommon - is the work I do best.
Adversarial prompting, rubric design, failure-mode analysis. Specialism in engineering and physical-reasoning evaluation where most evaluators lack domain fluency.
Mechanical design and full-lifecycle development of vacuum and PVD systems - cathodic arc, magnetron source architecture, sputter deposition - with the standards-compliant technical and safety documentation to match.
Two literary manuscripts in progress; essays on evaluation methodology and industrial design live on Substack; standards-based technical and safety documentation.