Identify bounded, verifiable ways to use AI for research, documentation, support, testing, and delivery.
A good fit when
Engineering and product teams that want practical AI improvements without betting the business on a demo.
What changes
- A focused workflow with clear inputs, outputs, ownership, and verification.
- Safe integration points for existing tools and business processes.
- A measured path from experiment to something people use every day.
Typical tools
- Workflow design
- LLM integration
- Prompt evaluation
- APIs
- Testing
- Observability
How an engagement runs
Clear decisions, steady delivery.
Questions
Before we start.
Can you work inside our existing team and tools?
Yes. I can own a defined project or work inside an existing product and engineering team.
How do you handle time zones?
I am based in Montevideo (UTC−3) and work with Americas teams during overlapping hours.
Do you sign NDAs and work in regulated environments?
Yes. My experience includes banking, payments, healthcare, identity, documents, and other sensitive workflows.
What do the first two weeks look like?
We clarify the problem, inspect the current state, agree on a first milestone, and make the earliest risks visible.
Can you bring extra capacity?
Yes, when the scope needs QA, SDET, DevOps, SRE, or additional full-stack capacity.
Start small
Want a technical path before a larger engagement?
Project inquiry
Send a project brief.
Share the product, constraint, and outcome you have in mind. I’ll read it and reply with an honest assessment of whether I’m the right person to help, then we can coordinate a call if it makes sense.
Prefer to talk? Book a 20-min intro call →