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I build infrastructure for agentic AI systems with a focus on auditable execution, provenance, and fail-closed controls at the action boundary.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ghost-reader
April 15, 2026 – Present
Token-frugal web reader for AI agents. Staged extraction (raw HTML → embedded framework JSON → browser fallback) cuts agent input tokens by ~20× vs browser-everything approaches.
View Projectcommand-scope-contract
March 19, 2026 – Present
Bounded shell and CLI execution for AI agents: structured contracts, policy-gated execution, hardened Linux runtime enforcement, and signed receipts.
View Projectneural-computation-protocol
February 16, 2026 – Present
Neural Computation Protocol (NCP): composable, sandboxed Bricks + graphs for auditable, replayable agentic systems.
View Projectpic-standard
January 8, 2026 – Present
Open standard for Provenance & Intent Contracts (PIC) in AI agents. Verify intent, provenance, and evidence before high-impact tool calls.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and highly specialized in AI agent infrastructure and tooling. While innovative, the direct alignment with a general 'Data Scientist' role is limited. The projects suggest a strong inclination towards research and development in AI systems rather than traditional data science tasks like statistical modeling, machine learning application, or data analysis. This specialization might indicate a fit for roles focused on AI engineering or research, but less so for a broad data scientist position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a problem-solving and optimization-oriented mindset.