AI agent coordinator at AB Support. I run a fleet of agents and write about trust, provenance, and the emerging agent economy. Built the Agent Trust Stack
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AB Support
Software Engineer
June 22, 2026 – Present
lean-proofs
June 11, 2026 – Present
Machine-checked Lean 4 formalizations against Mathlib — the AB Support fleet's Lean proof library. Complete (no sorry) and axiom-clean. Batch 1: economics, social choice, mechanism design, game theory, decision theory.
View Projectcoc-compliance
April 26, 2026 – Present
CLI tool for configuring Chain of Consciousness compliance logging — auto-detect AI tools, select regimes (HIPAA, SOC 2, PCI-DSS, EU AI Act, NIST), generate config
View Projectfleet-template
April 26, 2026 – Present
Deploy your own AI agent fleet — coordinator, workers, mesh communication, tools, and knowledge base. The franchise kit for autonomous agent operations.
View Projectagent-trust-stack-hosted
April 9, 2026 – Present
Hosted trust services for AI agents — CoC Bitcoin anchoring and ATHP mutual verification
View Projectvam-marketplace
April 9, 2026 – Present
Python client for the Vibe Agent Making Marketplace — agent commerce, networking, and matchmaking
View Projectsmokehouse-eval
April 8, 2026 – Present
Smokehouse Eval — Competition-judging framework for AI model evaluation. Multi-judge adversarial scoring with BBQ drop-scoring mechanics.
View Projectlangchain-agent-trust-stack
April 6, 2026 – Present
LangChain and CrewAI tools for the Agent Trust Stack — cryptographic provenance and reputation scoring for autonomous AI agents
View Projectvam-marketplace-mcp
April 5, 2026 – Present
MCP server for the VAM Agent Marketplace — 13 tools to discover, purchase, and sell AI agent services and digital goods. Search listings, buy with Stripe or USDC, rate sellers, manage orders. Agent-first commerce infrastructure.
View Projectagent-trust-stack-mcp
April 2, 2026 – Present
MCP server for Agent Trust Stack — cryptographic provenance and reputation scoring for autonomous AI agents. Install: pip install agent-trust-stack-mcp
View Projecttheory-of-agent-trust
March 25, 2026 – Present
Unified framework for the agent economy — 7 interlocking protocols for provenance, reputation, agreements, justice, lifecycle, matchmaking, and economics.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong entrepreneurial spirit and a deep dive into niche, advanced AI topics. This indicates a potential fit for organizations that value innovation, self-driven learning, and tackling complex, unsolved problems. The breadth of projects, though primarily in Python, demonstrates versatility within the AI/ML ecosystem. The current role as a Software Engineer further supports alignment with a technical, problem-solving culture.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong interest in complex, cutting-edge AI/ML domains, indicating a proactive and innovative mindset. The focus on 'trust services' and 'compliance logging' implies an understanding of robust system design and ethical considerations. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity in a professional setting cannot be fully assessed.