Overview

Start here. What I do, results, and where to go next.

Overview

Freelance AWS Machine Learning Engineer. I build cost-efficient ML systems.

São Paulo, Brazil (remote) [e-mail] Website · GitHub · Medium · LinkedIn

What I do

• AWS ML architecture.
• Cost optimization for training and inference.
• PEFT fine-tuning: LoRA, QLoRA, QDoRA.
• Production MLOps: CI/CD, monitoring, retraining.

Selected outcomes

• 40-60% AWS cost reduction on ML workloads.
• 5,000+ RPS inference with p95 under 100ms.
• Processing cost under 0.15 USD per document.
• 85% infra savings with multi-adapter serving.

Deep dives

• AWS ML architecture on AWS
• AWS cost optimization for ML
• Parameter-efficient fine-tuning (LoRA, QLoRA, QDoRA)
• MLOps and production ML systems

Portfolio

• Services and engagement model
• Client case studies
• Debugging and problem solving
• Skills and tooling
• Writing and open source

Last updated: Jan 2026.