| AI accountability engineer & researcher | I build tools that make AI-assisted work prove itself | Creator of EMET | proof-surface | Rust · Python · C++23 |
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
telos
June 25, 2026 – Present
Give a stateless model durable, verified contact with state and range. An external, re-runnable verifier for model outputs.
View Projectforum
June 24, 2026 – Present
An orchestration engine for AI agents that records every step in a ledger you can verify
View Projectfaithful-transpile
June 23, 2026 – Present
The Conservation of Faithfulness — how a subject crosses between minds: a falsifiable principle that lossy transforms conserve faithfulness-to-a-criterion across every sense, and the neutral center it implies. Original work by Zain Dana Harper. MIT, 2026.
View Projectstudio-engine
June 21, 2026 – Present
Native, zero-dependency creative-verification simulation engine + frontend handoff kit (AGPL-3.0).
View Projectaccountable-surface
June 19, 2026 – Present
A live seam where a model perceives and acts under witness, gate, and memory — machines learning to hold themselves accountable.
View Projectcoherence-membrane
June 17, 2026 – Present
An inert, host-adjudicated perception membrane for inspectable model context.
View Projectproof-surface
June 17, 2026 – Present
The stdlib-only accountability contract: evidence packets, work-record receipts, and witness validators that reject authority-shaped content.
View Projectquanta-universe
March 23, 2026 – Present
Public module and example surface for Quanta research across language, graphics, color, finance, and systems experiments.
View Projectquantalang
March 23, 2026 – Present
Effects-oriented compiler with a verified C path, shader output, and experimental backend research.
View Projectcalibrate-pro
March 23, 2026 – Present
Windows display calibration toolkit with sensorless profiles, measured workflows, DDC/CI, ICC/LUT output, and reports.
View ProjectCultural Fit Analysis
The candidate's projects are primarily research-oriented and highly technical, focusing on compilers, AI agents, and verification. While technically strong, the direct alignment with typical game development team structures and collaborative workflows is not explicitly demonstrated. The projects are diverse in technology but consistently lean towards deep technical challenges rather than user-facing game experiences. The target role is 'Game Developer', but the projects are more aligned with engine development, tooling, or highly technical R&D within gaming rather than general game development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a highly independent and research-oriented approach.