Services
How I work with teams, companies and institutions — from AI prototypes to full programs.
AI product development
From discovery to a working product: AI agents, computer vision, automation and applied AI features.
Rapid prototyping
Turning an idea into a testable web or mobile prototype in weeks, not quarters.
Applied AI research
Exploratory work on edge AI, local models and emerging applications, with clear documentation.
Workshops and training
Hands-on AI training for teams, universities and communities, in English or Spanish.
Hackathons and programs
Designing and running innovation programs end to end, with partners and mentors.
Advisory and partnerships
Technical advisory for organizations entering AI, plus institutional partnerships.
Available for work
Open to AI product work, rapid prototypes and collaborations. If you have a project in mind, let's look at scope and next steps.
Request a proposalProcess
How a system reaches production
Five bounded steps, each with a verifiable signal before moving on.
- 01Scope agreed
Frame the problem
Define the decision the system has to improve, the constraints around it and what a good outcome looks like in numbers.
- 02Flow drafted
Map the data and the flow
Identify sources, gaps and the smallest path from input to a usable output before writing the first prompt.
- 03First run
Prototype with agents
Build a working slice with agentic tooling in days, keeping each step bounded so the behaviour stays inspectable.
- 04Metrics in place
Evaluate and harden
Add explicit evaluation, failure handling and cost limits. What cannot be measured does not go to production.
- 05In production
Ship and observe
Deploy with logging and ownership defined, then iterate on real usage instead of assumptions.
Cases
Recent work
Examples of the kind of systems I deliver. Open a card for context and outcome.
How I work
From a business problem to an AI system in production
Agents, automation and product: short cycles, measurable decisions and architecture that holds real users.
FAQ