Software engineer building trustworthy AI infrastructure, developer tools, and full-stack products.
I work across backend infrastructure and product engineering, with a focus on systems that are secure, observable, and practical to operate. My public work spans AI-agent auditability, developer tooling, distributed backends, real-time applications, and multi-tenant SaaS.
| Project | What it demonstrates |
|---|---|
| attestor | Tamper-evident audit infrastructure for AI agents using hash-chained ledgers, RFC 6962 Merkle checkpoints, Sigstore Rekor, verification tooling, and cross-platform CI. |
| claude-skills | A plug-and-play skill library and CLI workflow for extending Claude Code with reusable developer capabilities. |
| crypto-exchange-backend-go | A Go exchange backend with a matching engine, Raft sequencing, double-entry accounting, perpetual futures, custody components, and a React/TypeScript trading interface. |
| openclaw-saas | Multi-tenant SaaS provisioning isolated Docker workloads per user through an Express control plane, Next.js frontend, Caddy routing, and Azure deployment. |
| video-meet | A real-time video conferencing platform built with Next.js, FastAPI, WebRTC, and WebSockets. |
- Trustworthy AI systems — audit trails, integrity verification, agent infrastructure, and honest security boundaries
- Backend and distributed systems — Go, Node.js, APIs, event streams, concurrency, and durable state
- Full-stack products — TypeScript, React, Next.js, FastAPI, WebRTC, and production deployment
- Developer experience — CLI tools, automation, documentation, testing, and GitHub Actions
TypeScript · JavaScript · Go · Python · Node.js · React · Next.js · FastAPI · Docker · Azure · GitHub Actions
I am interested in open-source work around AI infrastructure, developer tooling, distributed systems, and ambitious full-stack products. The best way to start a technical conversation is through an issue or discussion in the relevant repository.
Build useful systems. Verify the important claims.