I build systems that authenticate, bill and execute reliably.
No client portfolio yet, so I built and deployed a live demonstration system to show exactly what I can do.
All metrics are from this live demo environment.
Live Metrics
LIVEAll metrics are from this live demo environment.
System Flow
From request to verified result.
Auth
Clerk-authenticated session gate — no resource is provisioned before identity is confirmed.
Credits
Credit balance is checked and reserved atomically before the job enters the queue.
Queue
Redis-backed ordered queue with per-user rate limiting and backpressure.
Runtime
Worker consumes the job from the queue and executes it in an isolated environment.
Verification
Output is verified against expected signatures before the job is marked complete.
Metrics
All events are counted, stored, and exposed via the public metrics API in real time.
Runtime Stack
Every component is running.
App Router · SSR · Server-side metrics fetch · Dark themed landing and dashboard.
Python API layer · pydantic-settings config · health and metrics endpoints.
Persistent storage for jobs, runtime sessions, and Stripe event history.
Worker dispatch queue and hot cache layer. Healthchecked by docker compose.
Background Python process. Consumes job queue, executes tasks, emits verification events.
Proof > promises.
Live runtime. Real metrics. Real infrastructure.