> For the complete documentation index, see [llms.txt](https://antoniovfranco.gitbook.io/antoniovfranco-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://antoniovfranco.gitbook.io/antoniovfranco-docs/portfolio/services-and-engagement-model.md).

# Services and engagement model

## Services and engagement model

### What I do

I help teams ship ML on AWS. I focus on cost, reliability, and speed.

### Typical services

* AWS ML architecture and infra reviews.
* Training pipelines with spot and checkpointing.
* Inference systems with latency targets.
* Fine-tuning with LoRA, QLoRA, and QDoRA.
* MLOps: CI/CD, monitoring, drift, retraining.

### Typical deliverables

* Architecture diagram and decision log.
* Terraform or CloudFormation plans.
* Benchmarks and cost breakdown.
* Deployment and rollback plan.
* Runbooks and alerts.

### How engagements usually run

1. Scope call.
2. Current-state review.
3. Proposal with milestones.
4. Implementation and handoff.

### Working style

I work remote. Async works well. I ship in small increments.

### Availability

I typically respond within 14 hours. I can start in 1-2 weeks.


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