Projects
Systems I have designed, built, and run.
Case studies in AI infrastructure and platform engineering: Kubernetes platforms, GitOps delivery, LLM serving, RAG pipelines, and cost control.
01
Agentic Traffic Gateway
One control point for LLM, MCP, and A2A traffic with policy enforcement and tracing
- Rust
- agentgateway
- MCP
- A2A
- Kubernetes
- OpenTelemetry
02
Content Engine
Multi-tenant agentic content pipeline from draft to multi-platform publish
- Python
- FastAPI
- Temporal
- Pydantic AI
- AWS Bedrock
- PostgreSQL
- Next.js
03
Atlas
Event-driven engineering management: DORA metrics, PRD intake, and AI agents
- Go
- Python
- React
- Next.js
- PostgreSQL
- Redis
- Apache Pulsar
- Temporal
- HelixDB
04
Inferno
wrk, but for tokens: load testing for OpenAI-compatible inference
- Python
- OpenAI API
- SSE
- pytest
- matplotlib
05
Portcullis
A minimal but serious LLM gateway in Go with a tiny dependency set
- Go
- SQLite
- Prometheus
- YAML
06
Priivy
A Rust PII detection engine that replaces Presidio at 66x to 1,525x the speed
- Rust
- ONNX
- WebAssembly
- gRPC
- PostgreSQL
- Helm
- Vault
07
Aegis
The identity layer: OIDC and SCIM SSO, RBAC, and audit for sibling products
- OIDC
- SCIM 2.0
- Rust
- Next.js
- PostgreSQL
- TOTP