Services and engagement model

What I deliver, typical timelines, and how we work.

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.