AI and product diagnosis
I assess problem framing, data, metrics, and feasibility to turn a vague ambition into a defensible technical path.
Applied AI for products, decision-making, and operations
Artificial intelligence with technical depth and practical delivery.
I design and ship recommendation, ranking, and optimization systems for real product problems.
Focus
Recommendation, optimization, and applied inference.
Format
Applied research, technical consulting, and value-oriented delivery.
Context
Digital products, government, and high-stakes decision environments.
How I help
Lean engagements with strong technical intent.
No AI theater. The goal is to reduce risk, speed up decisions, and deliver what can actually run in production.
Architecture and experimentation
I help structure hypotheses, design pipelines, and prioritize where research and engineering effort should go.
Recommendation and ranking systems
I work on matching, personalization, fairness, popularity, multi-objective optimization, and offline/online evaluation.
Where this has already created value
Applied experience in contexts where recommendation and decision quality matter.
The work usually happens where decisions are high-stakes, operations are under pressure, and technical choices must be explicit.
Matching
Modeling for real fit between supply, demand, and business constraints.
Public services
Personalization and prioritization in products with scale and public impact.
Estimation
Models that bring technical judgment, cost, and commercial decisions closer together.
Contact
If you are evaluating a serious AI problem, we should talk.
I am most valuable when there is a meaningful technical challenge, real business context, and room for evidence-based decisions. Direct email: victor@guerreiro.ia.br