Public Proof Lab

Reference code for regulated, agentic, healthcare AI systems.

Public repositories that make the portfolio easier to verify: RAG patterns, policy gates, execution receipts, evaluation harnesses, FHIR integration, MLOps, compliance automation, observability, and healthcare agent scaffolds.

12Public proof repos
11Implementation areas
4Core languages
0NDA details exposed

Operating Principles

The public repos are not client code. They are reference implementations and reusable patterns that show how I think about production AI risk.

Execution evidence should be inspectable, signed, and portable.
Regulated AI needs policy gates at tool boundaries, not only prompt guidelines.
Healthcare AI systems need PHI handling, audit logging, and evaluation before demo polish.
Production agents need observability, backpressure, cancellation, and regression tests.

Public Repositories

Each card links directly to GitHub so reviewers can inspect the implementation surface. Evidence levels describe what kind of proof each repo provides.

Healthcare RAGAI GovernanceRegulated MLOpsCompliance AutomationHealthcare InteropAgent EvidencePolicy ControlsEvaluationEvidence UXHealthcare AgentRuntime Reliability
Healthcare RAGPython

healthcare-rag-platform

Production HIPAA-compliant RAG for healthcare with PHI detection, guardrails, FDA audit logging, and evaluation metrics.

Public reference implementation

AI GovernancePython

model-governance-framework

AI governance for healthcare ML: bias detection, fairness metrics, FDA-ready model cards, and responsible AI controls.

Public control framework

Regulated MLOpsPython

mlops-healthcare-platform

FDA 21 CFR Part 11 compliant MLOps with IQ/OQ/PQ validation, MLflow integration, model registry, and audit trails.

Public platform pattern

Compliance AutomationPython

compliance-automation-suite

HIPAA compliance automation with PHI validation, 45 CFR 164 references, audit logging, and security controls.

Public compliance pattern

Healthcare InteropPython

fhir-integration-service

FHIR R4 integration service for healthcare interoperability and regulated data exchange patterns.

Public integration service

Agent EvidencePython

agentic-receipts

Cryptographic receipts for agent traces using hash chains, Ed25519 signatures, and JCS canonicalization.

Public verification primitive

Agent EvidenceRust

agentic-trace-cli

CLI for canonicalizing, signing, and verifying agent execution receipts.

Public developer tool

Policy ControlsPython

agentic-policy-engine

Deny-by-default policy decisions with symmetric receipts at the tool boundary.

Public safety-control pattern

EvaluationPython

agentic-eval-harness

Per-scenario regression gates for bypass-resistance and deterministic agent behavior testing.

Public eval harness

Evidence UXTypeScript

agentic-evidence-viewer

Read-only viewer for agent execution bundles including trace chain, signatures, and redactions.

Public artifact viewer

Healthcare AgentTypeScript

agentic-member-assistant

Production-style virtual health assistant with identity-scoped retrieval, tool orchestration, and safe benefit explanations.

Public application scaffold

Runtime ReliabilityTypeScript

agentic-streaming-backend

SSE streaming backend for agentic AI with backpressure, cancellation, retry, and observability.

Public backend pattern

Reviewer Fast Path

For a 90-second review, start with healthcare RAG, governance, MLOps, and agentic receipts. For a technical deep dive, inspect the policy, eval, and streaming-backend patterns.