Edge-AI / MLOps
Your model works in a demo. Now make it dependable.
I help funded teams close the gap between notebook and production: data discipline, evals, deployment path, monitoring, latency, cost, and handoff.
Offers
Start with the smallest serious step.
If the path is unclear, start with the audit. If the path is clear and one model needs to ship, scope the sprint.
Production-Readiness Audit
$4,000
1-2 weeks
A focused review of model, data, deployment path, evals, latency, cost, and monitoring.
- • Written gap assessment
- • Prioritized production roadmap
- • Sprint recommendation if there is a clear build path
Prototype to Production Sprint
$25,000-$50,000
4-8 weeks
Take one model or AI feature from notebook/demo to a reliable production service.
- • Containerized service and deployment path
- • ONNX or latency optimization where useful
- • Monitoring, logging, CI/CD, and handoff docs
Fractional ML / Production Lead
$8,000-$15,000/mo
ongoing
Part-time senior production ownership for teams that need the discipline without a full-time hire.
- • Architecture reviews
- • Team mentoring
- • Latency, cost, and reliability ownership
Scope guardrails
One model. One production path. Written acceptance criteria.
The sprint is intentionally scoped so the work ships. Net-new research, unrelated platform rebuilds, and open-ended operations are quoted separately.