A LangGraph + Claude Agent SDK pipeline that reviews pull requests against security, licensing, and data-handling policy before merge — cost-gated, human-in-the-loop.
- active
- LangGraph
- Claude Agent SDK
- FastAPI
- Policy compliance
Computer-vision researcher (PhD & postdoc, 2018–2023) turned builder of LLM systems that turn regulation and review into structured, auditable output — deterministic decision layers, human-in-the-loop, evaluated.
A LangGraph + Claude Agent SDK pipeline that reviews pull requests against security, licensing, and data-handling policy before merge — cost-gated, human-in-the-loop.
A pip-installable PDPA compliance layer for Malaysian SMEs using AI/LLM tooling with customer data. One shared codebase, two packages: presidio-audit and presidio-malaysia.
Multi-agent supervision of a live ML model: monitoring, investigation, remediation, post-mortem.
vcrpy for MCP. Records real agent–server sessions into diffable cassettes and replays them as deterministic mock servers.
Before building a Malaysian PII pack for Presidio, I made the audit layer argue for its place in both directions. It survived, on a narrower reason than the one I started with.
Packaging the gate for PyPI found four real bugs and produced a release workflow that has never run — committed as publish.yml.disabled, because a package on PyPI is a claim I can't make yet.